{"data":{"company":{"name":"phData","slug":"phdata","logo_url":"https://logos.yubhub.co/phdata.com.png","canonical_domain":"phdata.com","editorial":null,"wikidata_id":null,"founded":null,"ceo":null,"founders":[],"hq_location":null,"industry":null,"employee_count":null,"official_website":null,"wikipedia_url":null,"stock_ticker":null,"stock_price":null,"market_cap":null,"revenue":null,"ipo_date":null,"sector":null,"full_time_employees":null,"company_description":null,"twitter_username":null,"linkedin_id":null,"instagram_username":null,"facebook_id":null,"parent_org":null,"country":null,"github_org":null,"github_public_repos":null,"github_followers":null,"github_verified":0,"github_description":null,"github_location":null,"github_blog":null,"github_twitter":null,"stock_exchange":null,"stock_beta":null,"stock_range":null,"stock_is_actively_trading":null,"fmp_image":null,"fmp_address":null,"fmp_city":null,"fmp_state":null,"fmp_country":null,"recent_news":[],"search_interest_index":null,"search_interest_trend":null,"wikipedia_monthly_views":null,"hn_mention_count":null,"hn_top_stories":[],"wayback_first_year":null,"sec_incorporation_state":null,"sec_latest_filing_type":null,"sec_latest_filing_date":null,"sec_filings":[],"research_papers_count":null,"research_citations_count":null,"research_h_index":null,"research_topics":[],"is_federal_contractor":null,"earnings_calendar":[],"industry_canonical":null,"enrichment_sources":[],"last_enriched_at":null},"hiring":{"total_jobs":45,"categories":[{"category":"engineering","count":18},{"category":"consulting","count":15},{"category":"sales","count":6},{"category":"data science","count":3},{"category":"product management","count":2},{"category":"it","count":1}],"experience_levels":[{"level":"senior","count":44},{"level":"executive","count":1}],"work_arrangements":[{"arrangement":"remote","count":45}],"top_titles":[{"title":"Solutions Architect","count":4},{"title":"Technical Delivery Manager","count":2},{"title":"Sr. Machine Learning Engineer","count":2},{"title":"Senior Solutions Architect","count":2},{"title":"Program Manager, AI & Data","count":2},{"title":"Machine Learning solutions Architect","count":2},{"title":"Territory Director - Northeast","count":1},{"title":"Territory Director - Chicago","count":1},{"title":"Territory Director - California or Pacific Northwest","count":1},{"title":"Sr. Program Manager, AI & Data","count":1},{"title":"Sr. Product Manager, AI & Data","count":1},{"title":"Sr. Advisory Consultant, Data Governance/MDM","count":1},{"title":"Sr. Advisory Consultant, Data Governance","count":1},{"title":"Solutions Architect (Managed Services)","count":1},{"title":"Solutions Architect (LATAM)","count":1}],"locations":[{"location":"us - remote","count":24},{"location":"latam - remote","count":8},{"location":"bangalore, india","count":4},{"location":"bangalore","count":4},{"location":"us-remote","count":1},{"location":"remote, us","count":1},{"location":"india-remote","count":1},{"location":"brazil","count":1},{"location":"atlanta, ga","count":1}],"skills":[{"skill":"Snowflake","required":21,"preferred":6,"total":27},{"skill":"SQL","required":21,"preferred":0,"total":21},{"skill":"AWS","required":17,"preferred":4,"total":21},{"skill":"Azure","required":17,"preferred":4,"total":21},{"skill":"Python","required":15,"preferred":3,"total":18},{"skill":"Matillion","required":9,"preferred":5,"total":14},{"skill":"Databricks","required":9,"preferred":4,"total":13},{"skill":"Fivetran","required":10,"preferred":2,"total":12},{"skill":"dbt","required":9,"preferred":2,"total":11},{"skill":"Apache Airflow","required":9,"preferred":2,"total":11},{"skill":"Artificial Intelligence","required":9,"preferred":1,"total":10},{"skill":"Apache Spark","required":7,"preferred":3,"total":10},{"skill":"Google Cloud","required":7,"preferred":2,"total":9},{"skill":"Kafka","required":7,"preferred":2,"total":9},{"skill":"Machine Learning","required":8,"preferred":0,"total":8},{"skill":"Anthropic","required":5,"preferred":3,"total":8},{"skill":"Consulting","required":6,"preferred":1,"total":7},{"skill":"Data Engineering","required":7,"preferred":0,"total":7},{"skill":"Data Platforms","required":6,"preferred":0,"total":6},{"skill":"Governance","required":6,"preferred":0,"total":6}],"salary_stats":null,"job_types":[{"type":"full-time","count":45}],"latest_jobs":[{"id":"job_a1a0e634-8b8","title":"Sr. Program Manager, AI & Data","source_url":"https://job-boards.greenhouse.io/phdata/jobs/8172243","location":"LATAM - Remote","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Consulting","description":"<p>Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India.</p>\n<p>This is a highly client-facing role. You will operate as a hybrid Engagement Lead + delivery leader for data and AI programs, accountable for both execution and client outcomes.</p>\n<p>Core Responsibilities:</p>\n<ul>\n<li>Lead, and be accountable for the success of complex data and AI programs, serving as primary point of contact for client sponsors and partners.</li>\n<li>Partner closely with technical delivery leads and execution teams to drive success and measurable client outcomes.</li>\n<li>Translate client strategy into clear roadmaps and integrated delivery plans, balancing pace, quality, and risk across multi-geo teams.</li>\n<li>Own and actively manage scope across all parties involved.</li>\n<li>Build strong, trust-based relationships with senior clients, partners, and technology stakeholders.</li>\n<li>Navigate ambiguity, conflicting priorities, and tough trade-offs with calm, data-informed recommendations.</li>\n<li>Coordinate effectively with ecosystem partners to align roadmaps, funding, and delivery.</li>\n<li>Shape a healthy, inclusive delivery culture by setting sustainable operating rhythms and coaching PMs/Delivery Leads/consultants.</li>\n<li>Contribute to the ongoing iteration and refinement of existing phData processes and methodologies.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Executive-facing client leadership: Track record working directly with executive stakeholders; excellent written and verbal communication, including concise status and executive storytelling.</li>\n<li>Consulting &amp; engagement leadership: Significant consulting experience leading complex technology programs and owning delivery outcomes.</li>\n<li>Program/delivery management: Deep experience with multi-workstream initiatives and strong command of Agile/iterative delivery.</li>\n<li>Commercial &amp; financial ownership: Experience managing budget, margin, and commercial risk on services engagements and comfort discussing trade-offs with internal and client leaders.</li>\n<li>Domain alignment: Familiarity with modern data stacks, including risks and trade-offs.</li>\n<li>Foundational: Prior experience leading remote, multi-geo teams strongly preferred; Bachelor’s degree or equivalent experience in a relevant field.</li>\n</ul>","enriched_at":1793434917402},{"id":"job_1ae25d30-389","title":"Sr. Product Manager, AI & Data","source_url":"https://job-boards.greenhouse.io/phdata/jobs/8301567","location":"Remote, US","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Product Management","description":"<p>Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India.</p>\n<p>As a Sr. Product Manager, you&#39;ll drive the success of data and AI solutions that connect client business goals to modern data platforms and products.</p>\n<h3>Core Responsibilities</h3>\n<ul>\n<li>Shape and deliver data and AI platforms/products that solve real business problems, partnering with architects, engineers, analysts, and change leaders.</li>\n<li>Turn business goals into clear requirements, user stories, and backlogs; lead agile planning and execution across cross-functional teams.</li>\n<li>Define and track KPIs and success metrics across business, customer, product, and delivery; use data to drive prioritization and iteration.</li>\n<li>Ensure quality, adoption, and continuous improvement through testing, validation, stakeholder feedback, and iteration.</li>\n<li>Communicate clearly with business and technical stakeholders, surfacing risks early and driving alignment on decisions.</li>\n<li>Lead core product workstreams within broader engagements and manage day-to-day coordination and workstream-level stakeholders.</li>\n</ul>\n<h3>Qualifications</h3>\n<ul>\n<li>Experience in product management for data, analytics, or AI platforms/products (consulting, SaaS, or enterprise).</li>\n<li>Hands-on exposure to modern cloud data platforms (e.g., Snowflake, Databricks, AWS/Azure/GCP) and strong data &amp; AI literacy.</li>\n<li>Proven ability to lead cross-functional teams in an agile environment and communicate clearly with client stakeholders.</li>\n<li>Familiarity with data/AI architecture and governance, and experience in change-heavy transformations.</li>\n<li>Proficiency with product/project management tools and openness to AI-enabled execution tooling; willingness to travel as required.</li>\n<li>Significant experience owning end-to-end product outcomes for data/analytics/AI products.</li>\n<li>Prior external consulting experience.</li>\n<li>Recognized as a go-to SME; comfortable with executive-facing communication.</li>\n<li>Willingness to travel up to 50% per month (10 of 20 business days) when required by our clients.</li>\n</ul>\n<h3>Benefits</h3>\n<p>phData celebrates diversity and is committed to creating an inclusive environment for all employees.</p>","enriched_at":1793434904394},{"id":"job_9f6760be-9e0","title":"Sr. Machine Learning Engineer","source_url":"https://job-boards.greenhouse.io/phdata/jobs/8089897","location":"Brazil","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"<p>Join phData, a remote-first data and AI consultancy company, as a Senior Machine Learning Engineer. You will design, build, and operationalize production-ready AI and machine learning systems that solve meaningful business problems for enterprise customers.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Build and operationalize production-ready Applied AI and machine learning solutions that align with customer objectives, technical requirements, and enterprise environments.</li>\n<li>Translate solution architectures and business requirements into clean, maintainable, well-tested code, data and model pipelines, and technical deliverables for AI applications.</li>\n<li>Implement robust production patterns for predictive ML, generative AI, LLM applications, agentic workflows, and intelligent automation, including evaluation, monitoring, and guardrails.</li>\n<li>Integrate AI solutions with enterprise data platforms, applications, APIs, and workflows, ensuring reliability, security, performance, and cost-effectiveness in production.</li>\n<li>Contribute to reusable accelerators, reference implementations, engineering standards, and technical playbooks that improve how phData delivers Applied AI solutions across clients.</li>\n</ul>\n<p>About You: You are a technically rigorous problem solver who enjoys working in a fast-paced, outcomes-driven environment. You are comfortable operating in distributed, global teams and partnering with colleagues across time zones.</p>\n<p>Required Qualifications:</p>\n<ul>\n<li>5+ years of experience in AI/ML engineering, software engineering, data engineering, or a related technical discipline, including at least 3 years designing, building, deploying, or operating AI and machine learning solutions in production.</li>\n<li>Strong programming experience in Python for building production-grade AI, ML, and data pipelines.</li>\n<li>Strong working knowledge of SQL for querying, transforming, and validating data used in AI and ML solutions.</li>\n<li>Practical experience with modern cloud, data, and AI ecosystems such as Snowflake, Databricks, AWS, Azure, Google Cloud, dbt, Anthropic, OpenAI, or comparable technologies.</li>\n<li>Understanding of production AI/ML concerns, including evaluation, observability, security, governance, scalability, performance, and operational support.</li>\n<li>Experience developing production software, APIs, services, data pipelines, or AI applications and integrating them into enterprise environments.</li>\n</ul>\n<p>Benefits at phData LATAM:</p>\n<ul>\n<li>Remote-First Work Environment</li>\n<li>Casual, award-winning small-business work environment</li>\n<li>Collaborative culture that prizes autonomy, creativity, and transparency</li>\n<li>Competitive comp, excellent benefits, generous PTO plan plus 10 Holidays (and other cool perks)</li>\n<li>Accelerated learning and professional development through advanced training and certifications</li>\n</ul>","enriched_at":1793434887045},{"id":"job_f1cb0964-3a3","title":"Program Manager, AI & Data","source_url":"https://job-boards.greenhouse.io/phdata/jobs/8172231","location":"LATAM - Remote","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Consulting","description":"<p>Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India.</p>\n<p>This is a highly client-facing role. You will operate as a Program Manager for data and AI programs, accountable for both execution and client outcomes.</p>\n<p>Core Responsibilities:</p>\n<ul>\n<li>Lead complex AI and data programs as the primary point of contact for client sponsors and partners, owning successful delivery and client outcomes.</li>\n<li>Translate client strategy into clear roadmaps and integrated delivery plans, balancing pace, quality, scope, and risk across multi-geo teams.</li>\n<li>Partner closely with technical delivery leads, architects, and engineers to ensure delivery aligns to business goals and measurable value.</li>\n<li>Own engagement financials including budget, burn, margins, forecasting, utilization, and change control; proactively manage risk and variances using delivery metrics.</li>\n<li>Build strong, trust-based relationships with senior client, partner, and technical stakeholders, providing concise status updates and executive-ready storytelling.</li>\n<li>Navigate ambiguity, competing priorities, and difficult trade-offs with calm, data-informed recommendations.</li>\n<li>Manage project risks and customer escalations end-to-end in close partnership with delivery and sales.</li>\n<li>Identify opportunities to expand phData services, including AI and analytics offerings, within existing accounts.</li>\n<li>Provide account health readouts covering financials, project status, AI adoption metrics, and key blockers.</li>\n<li>Help shape a healthy, inclusive delivery culture by coaching Project Managers and consultants, and contributing to the evolution of AI-augmented delivery practices.</li>\n</ul>\n<p>Core Requirements:</p>\n<ul>\n<li>Proven experience leading client-facing programs and working directly with executive stakeholders, with strong written and verbal communication skills.</li>\n<li>5+ years of Technical Program / Program Management experience in a consulting or professional services environment, managing timelines, scope, budgets, and resources for data and AI programs.</li>\n<li>Experience running multi-workstream initiatives across data platforms, analytics, cloud, and/or AI/ML, with strong command of Agile/iterative delivery and solid understanding of Waterfall.</li>\n<li>Background in AI, data, and analytics projects, with familiarity across modern data stacks such as Snowflake, AWS/Azure/GCP, modern BI, and ML/LLM platforms, including associated risks and trade-offs.</li>\n<li>Demonstrated ownership of performance across a project portfolio, including billable utilization and management of multiple customers concurrently.</li>\n<li>Proficiency in Jira, Azure DevOps, MS Project, and Excel, along with strong written technical documentation skills.</li>\n<li>Experience leading remote, multi-geo teams.</li>\n<li>Bachelor’s degree in IT or a related technical field.</li>\n<li>PMP and CSM certifications are strongly preferred.</li>\n<li>Willingness to travel up to 10% per month</li>\n</ul>","enriched_at":1793434868258},{"id":"job_d1dc514f-9f8","title":"Territory Director - Chicago","source_url":"https://job-boards.greenhouse.io/phdata/jobs/7724887","location":"US - Remote","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Sales","description":"<p>Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India.</p>\n<p>The Territory Director plays a strategic role in scaling the business, building and maintaining relationships with strategic partners, sourcing and acquiring new customers, and managing overall relationships at buying accounts within the territory.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Exceed quarterly/annual sales targets in all practice areas</li>\n<li>Co-Sell with Anthropic, Snowflake, AWS, and other ecosystem partners</li>\n<li>Drive and execute lead generation activities</li>\n<li>Partner with team members to scope and present solutions to prospects and clients</li>\n<li>Take accountability for the phData brand in the territory and accounts</li>\n<li>Navigate complex organizational structures to identify key stakeholders</li>\n<li>Accurately forecast, update deals, and manage sales pipeline</li>\n<li>Complete and embrace training for continuous improvement and new company initiatives</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>5+ years of B2B sales experience in technology services</li>\n<li>Experience in cloud services, data services, and/or AI is a plus</li>\n<li>Strong verbal, written, and presentation skills</li>\n<li>Ability to craft proposals, SOWs, negotiate contracts, deliverables, and pricing</li>\n<li>Enthusiasm to work in a fast-paced, high-growth environment</li>\n<li>Ability to work cross-functionally and be inclusive in the sales process</li>\n<li>Proven track record of sourcing, negotiating, and closing $250K+ deals</li>\n</ul>\n<p>Why phData?</p>\n<ul>\n<li>Remote-First Work Environment</li>\n<li>A casual, award-winning small-business work environment</li>\n<li>A culture that prizes autonomy, creativity, and transparency</li>\n<li>Competitive compensation, benefits, PTO, and perks</li>\n</ul>","enriched_at":1792843916988},{"id":"job_96a6ce37-854","title":"Territory Director - California or Pacific Northwest","source_url":"https://job-boards.greenhouse.io/phdata/jobs/7895635","location":"US - Remote","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Sales","description":"<p>Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India.</p>\n<p>The Territory Director plays a strategic role in scaling the business, building and maintaining relationships with strategic partners, sourcing and acquiring new customers, and managing overall relationships at buying accounts within the territory.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Exceed quarterly/annual sales targets in all practice areas</li>\n<li>Co-Sell with Anthropic, Snowflake, AWS and other ecosystem partners</li>\n<li>Drive and execute lead generation activities</li>\n<li>Partner with team members to scope and present solutions to prospects and clients</li>\n<li>Take accountability for the phData brand in the territory and accounts</li>\n<li>Navigate complex organizational structures to identify key stakeholders</li>\n<li>Accurately forecast, update deals, and manage sales pipeline</li>\n<li>Complete and embrace training for continuous improvement and new company initiatives</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>5+ years of B2B sales experience in technology services</li>\n<li>Experience in cloud services, data services, and/or AI is a plus</li>\n<li>Strong verbal, written and presentation skills</li>\n<li>Ability to craft proposals, SOWs, negotiate contracts, deliverables and pricing</li>\n<li>Enthusiasm to work in a fast-paced, high-growth environment</li>\n<li>Ability to work cross-functionally, and be inclusive in the sales process</li>\n<li>Proven track record of sourcing, negotiating and closing $250K+ deals</li>\n</ul>\n<p>Why phData?</p>\n<ul>\n<li>Remote-First Work Environment</li>\n<li>A casual, award-winning small-business work environment</li>\n<li>A culture that prizes autonomy, creativity, and transparency</li>\n<li>Competitive compensation, benefits, PTO, and perks</li>\n</ul>","enriched_at":1792843901775},{"id":"job_bdab5b2e-119","title":"Technical Delivery Manager","source_url":"https://job-boards.greenhouse.io/phdata/jobs/8083707","location":"US - Remote","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"<p>Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.</p>\n<p>We are looking for a Technical Delivery Manager to join our Elastic Platform Operations (EPO)/Managed Services team. In this role, you will lead and scale the design, implementation, and ongoing operations of modern data platforms for multiple enterprise customers, ensuring reliable delivery and continuous improvement of their cloud data environments.</p>\n<h3>Key Responsibilities</h3>\n<h4>Client Delivery</h4>\n<ul>\n<li>Own and drive the delivery and operational excellence of modern data platforms (including streaming, data lakes, and analytics) for multiple customer accounts.</li>\n<li>Translate business and technical requirements into actionable Epics, Stories, and Tasks that mature and improve customer data platforms while aligning to phData methodologies and best practices.</li>\n<li>Ensure engagements are delivered on time, within scope, and on budget, with clear measures of success and value for customers.</li>\n<li>Lead and motivate client technical teams, providing hands-on technical leadership for design, implementation, and ongoing operational support of cloud data platforms.</li>\n<li>Provide leadership during major incidents, ensuring effective coordination, communication, escalation, and follow-through to resolution, root cause analysis, and remediation.</li>\n</ul>\n<h4>Collaboration &amp; Leadership</h4>\n<ul>\n<li>Collaborate with cross-functional partners including architects, engineers, and site reliability/operations teams in the US and India to deliver successful client engagements and seamless handoffs across time zones.</li>\n<li>Develop strong relationships with sponsors and stakeholders, keeping them informed of progress and outcomes, hosting leadership discussions, and identifying opportunities to expand the value of our services.</li>\n<li>Ensure teams are trained and prepared to deliver by driving accurate process documentation, clear internal and external communication, and continuous readiness for production operations.</li>\n<li>Maintain proper staffing levels across accounts, balancing delivery between US and India team members to support continuous delivery and high customer satisfaction.</li>\n</ul>\n<h4>Practice &amp; Firm Contribution</h4>\n<ul>\n<li>Deliver feedback and drive improvements to our overall Managed Services offerings through process optimization, knowledge sharing, and creation of accelerators and reusable assets.</li>\n<li>Champion phData’s core values and foster a culture of accountability, ownership, and continuous improvement within delivery teams.</li>\n<li>Contribute to the evolution of best practices for incident management, change management, and modern data platform operations across multiple customers.</li>\n</ul>\n<h4>Additional Responsibilities</h4>\n<ul>\n<li>Act as a trusted advisor to senior client stakeholders (Director and VP level), shaping roadmaps for cloud data platforms and influencing strategic decisions around data and analytics operations.</li>\n<li>Mentor and coach architects, engineers, and operations team members, helping them grow technical depth and delivery capabilities across large and complex environments.</li>\n<li>Help define and refine Managed Services standards, playbooks, and frameworks to support scalable growth across a broad customer base.</li>\n</ul>\n<h3>About You</h3>\n<p>You are a client-focused technical delivery leader who enjoys owning complex data platform operations, guiding teams through ambiguity, and building strong relationships with stakeholders. You are equally comfortable discussing architectural trade-offs with engineers and outcomes with business leaders, and you thrive in a remote, global, outcomes-driven environment.</p>\n<h3>Required Qualifications</h3>\n<h4>Experience</h4>\n<ul>\n<li>5+ years of experience in technical management, IT architecture, customer relationship management, project management, and/or delivery management, ideally within data, analytics, or infrastructure operations.</li>\n</ul>\n<h4>Technical / Functional Skills</h4>\n<ul>\n<li>Hands-on experience with at least one major cloud platform, specifically Amazon Web Services (AWS) or Microsoft Azure.</li>\n<li>Technical knowledge deploying and managing modern cloud data technologies such as Snowflake, dbt, Fivetran, Airflow, Redshift, Matillion, Databricks, Azure Synapse, Qlik, StreamSets, NiFi, Cloudera, Coalesce, and EMR (not all required but familiarity with several is expected).</li>\n<li>Background in IT operations, infrastructure, or production support, including managing modern data platforms or data warehouses for multiple customers of various sizes.</li>\n<li>Experience leading technical operations teams through multiple large or complex projects, including backlog creation (Epics, Stories, Tasks), prioritization, and delegation.</li>\n<li>Experience scoping and planning large-scale, complex technology infrastructure or modern data platform initiatives.</li>\n<li>Demonstrated ownership of incident and escalation processes, including coordination among technical teams, end-users, and stakeholders through resolution, root cause analysis, and remediation.</li>\n<li>Active daily use of AI coding tools (Cursor, GitHub Copilot, Claude, ChatGPT, or equivalent) with demonstrated judgment about when to trust, verify, and correct AI-generated output.</li>\n<li>Ability to describe specific engineering tasks completed with AI assistance.</li>\n</ul>\n<h4>Consulting / Delivery Skills</h4>\n<ul>\n<li>Experience delivering services for external or internal customers in a professional services, managed services, or similar client-facing environment, including direct interaction with global customers and business partners.</li>\n<li>Ability to interact confidently with Director and VP level stakeholders, guiding discussions, building relationships, and communicating complex technical information in accessible ways (written, verbal, and formal presentations).</li>\n<li>Proven experience coordinating across technical teams managing IT infrastructure services or modern data platforms for multiple customers concurrently.</li>\n<li>Strong written and verbal communication skills in English.</li>\n</ul>\n<h4>Collaboration &amp; Ownership</h4>\n<ul>\n<li>Demonstrated ability to lead and collaborate with distributed, cross-functional teams across regions (e.g., US, LATAM, and/or India) and time zones.</li>\n<li>Strong leadership skills with a professional track record of creating, challenging, and improving processes and procedures.</li>\n<li>Highly organized, strategic thinker, and effective problem-solver who can manage multiple priorities and accounts simultaneously with minimal supervision.</li>\n<li>Flexibility to work across time zones as needed to support global teams and customers.</li>\n</ul>\n<h4>Education</h4>\n<ul>\n<li>Bachelor’s degree in Computer Science or a related field, or equivalent practical experience (degree preferred but not required).</li>\n</ul>\n<h3>Preferred Qualifications</h3>\n<ul>\n<li>Experience managing IT or data operations/production support environments, including leading data warehouse, ML, or data engineering teams.</li>\n<li>Experience working with cloud data platforms such as Snowflake, Databricks, and Azure Synapse in a multi-customer or managed services context.</li>\n<li>Additional experience with tools such as Qlik, StreamSets, NiFi, Cloudera, or Coalesce.</li>\n<li>Prior experience in a consulting, managed services, or MSP-style environment supporting multiple enterprise customers.</li>\n<li>Prior experience working in global or remote teams and partnering across US, LATAM, and/or India.</li>\n<li>Demonstrated passion and curiosity for learning new technologies and staying current with technology trends to inform business strategy.</li>\n<li>Contributions to internal accelerators, process improvements, or knowledge sharing initiatives are a plus.</li>\n</ul>\n<h3>Location &amp; Time Zone Expectations</h3>\n<p>This role is based in the US and operates primarily in Central or Eastern US time zones, with regular collaboration with teams in India and across the Americas.</p>\n<ul>\n<li>We are a remote-first company, and you should be comfortable working with a distributed global team.</li>\n<li>Some flexibility may be required to collaborate across time zones with colleagues and clients.</li>\n<li>Client needs may occasionally require flexibility in working hours and willingness to travel for client visits, team workshops, and strategic planning sessions.</li>\n</ul>\n<h3>Why phData?</h3>\n<ul>\n<li>Impactful Work: Partner with leading organizations on meaningful data &amp; AI initiatives.</li>\n<li>Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.</li>\n<li>Growth Opportunities: Access to challenging projects, mentorship, and structured development pathways.</li>\n<li>Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community.</li>\n</ul>\n<h3>Benefits at phData</h3>\n<p>US:</p>\n<ul>\n<li>Remote-First Work Environment</li>\n<li>401k plan with company match</li>\n<li>Dental and Vision insurance</li>\n<li>Home Office Equipment Stipend</li>\n<li>Annual stipend for Learning and Development</li>\n<li>Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays (and other cool perks)</li>\n</ul>","enriched_at":1792843887454},{"id":"job_91f0c39c-2d7","title":"Technical Delivery Manager","source_url":"https://job-boards.greenhouse.io/phdata/jobs/8124479","location":"India-Remote","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Consulting","description":"<p>Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India.</p>\n<p>We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Effectively lead and motivate client technical teams providing technical leadership for the design, implementation, and ongoing operational support of modern data platforms.</li>\n<li>Maintain knowledge of current modern data technology to guide and mentor team members.</li>\n<li>Collaborate with technical teams to build Epics, Stories, and Tasks to mature and improve customer data platforms.</li>\n<li>Provide Delivery Leadership for multiple customer accounts simultaneously.</li>\n<li>Develop strong relationships with sponsors and stakeholders.</li>\n<li>Ensure the team is trained and prepared to deliver.</li>\n<li>Actively participate in major incident response.</li>\n<li>Deliver feedback and make improvements to the overall service.</li>\n<li>Be an ambassador of company core values.</li>\n</ul>\n<p><strong>Qualifications:</strong></p>\n<ul>\n<li>At least 5 years of experience in Technical Management, IT Architecture, Customer Relationship Management, Project Management, and/or Delivery Management.</li>\n<li>Passion and curiosity for learning new technologies and skills.</li>\n<li>Knowledge of technology trends.</li>\n<li>Experience with Amazon Web Services (AWS) or Microsoft Azure.</li>\n<li>Technical knowledge deploying and managing cloud/data technologies such as Snowflake, Redshift, Synapse, Fivetran, Qlik, Matillion, DBT, StreamSets, Airflow, NiFi, Cloudera, EMR, Databricks.</li>\n<li>Passion for leading a technical operations team.</li>\n<li>Experience scoping activities on large-scale, complex technology infrastructure projects.</li>\n<li>Experience owning Incident and Escalation processes.</li>\n<li>Previous experience working directly with global customers and business partners.</li>\n<li>Confidence, excellent communication skills, and customer relationship management skills.</li>\n<li>Strong leadership skills.</li>\n<li>Professional track record of creating, challenging, and improving processes and procedures.</li>\n</ul>\n<p><strong>Why phData? We Offer:</strong></p>\n<ul>\n<li>Remote-First Workplace</li>\n<li>Medical Insurance for Self &amp; Family</li>\n<li>Medical Insurance for Parents</li>\n<li>Term Life &amp; Personal Accident</li>\n<li>Wellness Allowance</li>\n<li>Broadband Reimbursement</li>\n<li>Continuous learning and growth opportunities.</li>\n</ul>\n<p>#LI-DNI</p>","enriched_at":1792843847547},{"id":"job_c1ff79ee-7de","title":"Sr. Machine Learning Engineer","source_url":"https://job-boards.greenhouse.io/phdata/jobs/8002658","location":"Bangalore, India","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"<p>Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.</p>\n<p>We are looking for an Agentic AI Solutions Engineer to join our Applied AI team in our Agentic Delivery Center. In this role, you will design, build, and operationalize high-impact, production-ready agentic AI solutions that reason, retrieve, act, and integrate with enterprise systems to deliver measurable business outcomes.</p>\n<h3>Key Responsibilities</h3>\n<h4>Agentic Engineering &amp; Client Delivery</h4>\n<ul>\n<li>Build and operationalize end-to-end agentic AI solutions, like RAG pipelines, multi-agent workflows, and human-in-the-loop steps, for enterprise clients.</li>\n<li>Translate solution designs and business requirements into clean, well-tested production-grade code aligned with phData methodologies, standards, and best practices.</li>\n<li>Build production-grade agents emphasizing reliability, scalability, security, observability, and evaluation and guardrail strategies for safe, accurate performance before and after deployment.</li>\n<li>Ensure engagements are delivered on time, within scope, and with measurable business value for clients.</li>\n</ul>\n<h4>Collaboration &amp; Leadership</h4>\n<ul>\n<li>Contribute hands-on to reusable agentic accelerators and reference implementations aligned with the Intelligence Platform that can be deployed across multiple clients.</li>\n<li>Help establish engineering patterns, tooling, and ways of working as part of the zero-to-one buildout of the India delivery center.</li>\n<li>Collaborate with cross-functional partners, including forward-deployed engineers, data engineers, platform/DevOps engineers, and business stakeholders to deliver successful client engagements.</li>\n<li>Ensure high-quality deliverables through code reviews, technical documentation, automated testing, and adherence to security and governance standards.</li>\n<li>Partner with practice and account leaders to identify opportunities to expand engagements, improve delivery patterns, and standardize AI deployment approaches.</li>\n</ul>\n<h4>Practice &amp; Firm Contribution</h4>\n<ul>\n<li>Contribute to internal initiatives such as IP development, accelerators, reference architectures, templates, playbooks, and training for colleagues on best practices for AI engineering.</li>\n<li>Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders.</li>\n</ul>\n<h3>About You</h3>\n<p>You are a hands-on AI learning engineer and collaborative problem solver who enjoys solving ambiguous business problems with AI, creating robust, production-ready solutions. You are comfortable working across the stack,from data pipelines and infrastructure to APIs and monitoring,and partnering directly with forward-deployed engineers, data engineers, platform engineers, and business stakeholders.</p>\n<h3>Required Qualifications</h3>\n<h4>Experience</h4>\n<ul>\n<li>4+ years of experience in AI/ML engineering, software engineering, or data engineering roles building and deploying AI/ML solutions to production.</li>\n<li>Recent hands-on experience with LLM-powered or agentic applications.</li>\n</ul>\n<h4>Technical / Functional Skills</h4>\n<ul>\n<li>Hands-on understanding of Large Language Models, agentic architectures, and retrieval frameworks (RAG), including prompt design, context engineering, and tool/function calling.</li>\n<li>Experience with LLM orchestration frameworks (e.g. LangChain, LlamaIndex) and the broader agentic stack, such as multi-agent patterns, memory, planning, and protocols (e.g. MCP).</li>\n<li>Experience designing evaluation, guardrail, and observability strategies for LLM and agent systems (LLMOps/AgentOps).</li>\n<li>Hands-on experience in modern programming languages, such as Python, including developing APIs.</li>\n<li>Deep expertise in cloud-native AI/ML platforms (e.g. AWS Bedrock and SageMaker, Azure AI/ML, Snowflake Cortex) with proven experience deploying solutions into production.</li>\n<li>Complete software development lifecycle experience including design, documentation, implementation, testing, deployment, and ongoing operations.</li>\n<li>Demonstrated use of AI-assisted development tooling to accelerate delivery while maintaining quality.</li>\n<li>Strong working knowledge of SQL, including writing, debugging, and optimizing complex and distributed queries.</li>\n</ul>\n<h4>Consulting / Delivery Skills</h4>\n<ul>\n<li>Experience delivering projects for external or internal clients in a professional services, product, or consulting environment.</li>\n<li>Ability to break down complex problems into structured, actionable steps and drive them through to completion, ideally in a fixed-bid capacity.</li>\n<li>Strong written and verbal communication skills in English, including the ability to explain technical concepts to both technical and non-technical audiences.</li>\n<li>Proven experience presenting solutions and working directly with internal and/or external clients.</li>\n</ul>\n<h4>Collaboration &amp; Ownership</h4>\n<ul>\n<li>Demonstrated ability to work effectively with distributed and cross-functional teams across the US, LATAM, and India.</li>\n<li>Proven track record of taking ownership, managing multiple priorities, and delivering high-quality work with minimal supervision.</li>\n<li>Comfort working in client environments, quickly understanding new systems, and adapting solutions to fit existing architectures and processes.</li>\n</ul>\n<h4>Education</h4>\n<ul>\n<li>Bachelor’s degree in Computer Engineering, Computer Science, or a related technical field, or equivalent practical experience preferred.</li>\n</ul>\n<h3>Preferred Qualifications</h3>\n<ul>\n<li>Experience building reusable accelerators, modular codebases, or products deployed across multiple clients.</li>\n<li>Industry experience building AI/ML solutions in life sciences, retail, financial services, or manufacturing.</li>\n<li>Prior experience working in global or remote teams and partnering across US, LATAM, and/or India.</li>\n<li>Contributions to open source projects, technical communities, speaking engagements, or technical writing related to AI and agents are a plus.</li>\n<li>A Master’s or other advanced degree in data science, computer science, or a related field.</li>\n</ul>\n<h3>Why phData?</h3>\n<ul>\n<li>Impactful Work: Partner with leading organizations on meaningful data &amp; AI initiatives.</li>\n<li>Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.</li>\n<li>Growth Opportunities: Access to challenging projects, mentorship, and structured development pathways.</li>\n<li>Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community.</li>\n</ul>\n<h3>Benefits at phData</h3>\n<ul>\n<li>Remote-First Workplace</li>\n<li>Medical Insurance for Self &amp; Family</li>\n<li>Medical Insurance for Parents</li>\n<li>Term Life &amp; Personal Accident</li>\n<li>Wellness Allowance</li>\n<li>Broadband Reimbursement</li>\n<li>Continuous learning and growth opportunities to enhance your skills and expertise</li>\n<li>Other benefits include paid certifications, professional development allowance, and bonuses for creating for company-approved content</li>\n</ul>","enriched_at":1792843827493},{"id":"job_36565d4d-40c","title":"Sr. Advisory Consultant, Data Governance/MDM","source_url":"https://job-boards.greenhouse.io/phdata/jobs/7744332","location":"US-Remote","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Consulting","description":"<p>Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.</p>\n<p>We&#39;re growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.</p>\n<p>As a Sr. Advisory Consultant, focused on bringing Master Data Management recommendations and solutions to life, you&#39;ll help clients design and operationalize MDM programs that treat their most critical data as a strategic asset. This is a hands-on consulting role focused on building end-to-end MDM processes, defining match, merge, and survivorship rules, and enabling the tools and workflows clients need to sustain high-quality, trusted master data.</p>\n<h3>Core Responsibilities</h3>\n<h3>MDM Strategy and Process Design</h3>\n<ul>\n<li>Gather and document business requirements for MDM design, including data domains, ownership, governance boundaries, and decision rights.</li>\n<li>Map stakeholders and decision rights across the client organization, and navigate the politics and competing priorities that determine whether governance decisions actually hold.</li>\n<li>Own the executive sponsor relationship , establishing steering committee cadence, keeping sponsors engaged, and escalating directly if sponsorship disengages.</li>\n<li>Build the business case for MDM scope, tying recommendations to the revenue, cost, or risk outcomes the executive sponsor cares about.</li>\n<li>Support the design of tailored MDM programs with recommendations on end-to-end workflows, ingress and egress data flows, team structure, and scope.</li>\n<li>Collaborate with data engineers, analysts, and business owners to embed MDM processes into daily workflows, platform pipelines, and modeling practices.</li>\n<li>Apply data quality processes such as profiling, monitoring, and issue management to ensure rules are practical and adopted.</li>\n</ul>\n<h3>Match, Merge, and Survivorship</h3>\n<ul>\n<li>Partner with business teams to draft and maintain business rules governing match, merge, and survivorship logic for master data entities.</li>\n<li>Define and document matching criteria and thresholds tailored to the client&#39;s data landscape and business requirements.</li>\n<li>Establish survivorship rules that determine which record attributes are promoted to the golden record based on source system trust and business priority.</li>\n<li>Support testing and validation of match, merge, and survivorship configurations in client environments.</li>\n<li>Bring a modern perspective on MDM operating model design and rollout.</li>\n</ul>\n<h3>Tool Enablement &amp; Adoption</h3>\n<ul>\n<li>Evaluate and recommend MDM tooling options based on client requirements, data volumes, and existing technology landscape.</li>\n<li>Translate MDM design decisions into clear specifications for technical resources to configure and build within MDM and DQ tools (e.g., Semarchy, Informatica, Reltio, or equivalent), and validate the build against those specifications.</li>\n<li>Leverage AI-assisted features in modern tools (auto-classification, definition drafting, similarity matching, lineage discovery) to accelerate MDM execution.</li>\n<li>Facilitate MDM working groups and coach client staff on stewardship practices to drive alignment and sustainable data ownership.</li>\n<li>Communicate MDM concepts in clear business language; prepare training materials and adoption guides for executive and cross-functional audiences.</li>\n</ul>\n<h3>Required Qualifications</h3>\n<ul>\n<li>5+ years of experience in MDM, data governance, metadata management, or related roles.</li>\n<li>Hands-on experience with MDM and/or data catalog tools (e.g., Informatica, Reltio, Semarchy, Talend, Ataccama, or equivalent).</li>\n<li>Experience operating at the program level when MDM is a workstream within a larger transformation initiative (e.g., ERP/CRM modernization, M&amp;A integration), not only standalone scoped delivery.</li>\n<li>Experience leading or supporting MDM working groups or data stewardship councils.</li>\n<li>Knowledge of data access provisioning, integration patterns, ingress/egress flows, or lineage capture.</li>\n<li>Demonstrated ability to define and obtain alignment for business rules, matching logic, and data quality controls.</li>\n<li>Strong communication skills: able to facilitate workshops, write clear business documentation, and present to mixed audiences.</li>\n<li>Experience mentoring or developing other consultants.</li>\n<li>Experience supporting scoping, SOW development, and effort estimation for consulting engagements.</li>\n<li>Familiarity with governance operating models and stewardship practices.</li>\n<li>Willingness to travel up to 50% per month when required by our clients.</li>\n</ul>\n<h3>Preferred Skills</h3>\n<ul>\n<li>Hands-on experience with Semarchy specifically.</li>\n<li>Experience leading full MDM engagements end-to-end as the primary client-facing owner, directing technical resources and business analysts.</li>\n<li>Bachelor&#39;s degree in Information Systems, or related field (or equivalent work experience).</li>\n</ul>","enriched_at":1792843769184}],"category_normalised":[{"category":"engineering","count":18},{"category":"consulting","count":15},{"category":"sales","count":6},{"category":"data science","count":3},{"category":"product 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