
201 - 500 employees
Founded 2014
💼 Consulting
🏥 Healthcare
🏭 Manufacturing
💰 $2.5M Seed Round on 2018-03
Consulting • Healthcare • Manufacturing
phData is a company specializing in providing data engineering, analytics, and cloud migration solutions. They offer services including AI and machine learning strategies, analytics and visualization, and elastic operations to help businesses build and operationalize modern data products and applications. phData is an elite partner of Snowflake and provides end-to-end consulting for developing modern data applications and processing vast datasets efficiently. They cater to industries such as healthcare, financial services, and manufacturing by optimizing data platforms and delivering actionable insights using cutting-edge technology and expertise.
🕒 September 14
🇺🇸 United States – Remote
⏰ Full Time
🟠 Senior
🤖 Artificial Intelligence
🦅 H1B Visa Sponsor
👻 Ghost score 29%
Where this job comes from
Posted on phData's careers page, not through a job board
First seen by Remote Rocketship September 14
Still open on phData's site. Checked 8 hours ago.

201 - 500 employees
Founded 2014
💼 Consulting
🏥 Healthcare
🏭 Manufacturing
💰 $2.5M Seed Round on 2018-03
Consulting • Healthcare • Manufacturing
phData is a company specializing in providing data engineering, analytics, and cloud migration solutions. They offer services including AI and machine learning strategies, analytics and visualization, and elastic operations to help businesses build and operationalize modern data products and applications. phData is an elite partner of Snowflake and provides end-to-end consulting for developing modern data applications and processing vast datasets efficiently. They cater to industries such as healthcare, financial services, and manufacturing by optimizing data platforms and delivering actionable insights using cutting-edge technology and expertise.
• Lead AI ecosystem assessments, identify maturity gaps, and design tailored governance frameworks aligned to client industry, regulatory environment, and AI enablement vision • Own multi-workstream engagements, drive executive alignment, and create multi-year governance roadmaps connected to AI strategy and value realization • Define governance evaluation and approval processes for AI tools and use cases, including risk tiers, scoring methodology, and control expectations • Develop AI governance operating model blueprints covering governing bodies, roles, RACIs, and interaction models across Technology, Product, InfoSec, Risk, and Legal • Define and operationalize AI FinOps guardrails covering spend visibility, budget thresholds, usage policies, platform/tool approval, license rationalization, and TCO decisions • Facilitate executive and working sessions to align stakeholders and drive decisions • Define governance metrics and dashboards tracking value, cost, risk exposure, control coverage, and governance effectiveness • Recommend third-party AI governance tools and collaborate with engineering teams to ensure implementability on modern data and AI platforms • Shape and close strategic opportunities with sales through value propositions, solution approaches, and delivery models • Represent phData externally as a thought leader at conferences, webinars, and partner events • Serve as a trusted advisor to client sponsors and senior stakeholders, owning relationships and surfacing expansion opportunities • Partner with executive sponsors, data and analytics leaders, product and delivery teams, and business end users to ensure seamless execution and measurable outcomes • Build cross-practice relationships across Data Engineering, Analytics, AI/ML, and Advisory to deliver end-to-end solutions • Contribute to AI Governance, Operating Model, and FinOps offerings through methods, templates, accelerators, and client-ready collateral • Support sales pursuits, webinars, and AI governance thought leadership • Mentor consultants and senior consultants
• 5+ years in AI/Data ecosystem assessment, multi-stakeholder program leadership, and advising senior executives on AI or data governance • Demonstrated experience designing governance frameworks: risk tiering, model risk management, platform/tool approval processes • Operating model design experience: roles, RACIs, governance bodies for data, analytics, or AI organizations • Strong understanding of AI/GenAI concepts including model types, agentic workflows, and enterprise use cases • Familiarity with AI governance standards: NIST AI RMF, EU AI Act, ISO/IEC 42001 • Working knowledge of data platforms and AI ecosystems (Snowflake, AWS, Claude, etc.) and how governance is implemented in practice • Proven consulting delivery skills: problem framing, hypothesis-driven analysis, compelling executive-ready deliverables • Excellent communication and storytelling skills; ability to translate complex governance concepts for business audiences • Demonstrated ability to influence without authority and build cross-functional consensus • Bachelor's degree • Ability to travel as required by client commitments • Preferred: Experience standing up AI governance committees, steering committees, or review boards — charters, cadences, and decision-rights • Preferred: Hands-on model risk management, responsible AI, or regulated-industry compliance experience • Preferred: Prior consulting experience at a data/AI firm or within a central AI/ML office or analytics function • Preferred: Public thought leadership contributions on AI governance • Preferred: Advanced degree or relevant professional certifications
• Remote-first work environment • Opportunity for real ownership over work • Trusted to deliver results • Inclusive environment • Equal opportunity employer • Disability accommodations available
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