
201 - 500 employees
Founded 2014
đź’Ľ Consulting
🏥 Healthcare
🏠Manufacturing
đź’° $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.
đź•’ September 14
🇺🇸 United States – Remote
⏰ Full Time
đźź Senior
🤖 Artificial Intelligence
🦅 H1B Visa Sponsor
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201 - 500 employees
Founded 2014
đź’Ľ Consulting
🏥 Healthcare
🏠Manufacturing
đź’° $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 with clients' industries, regulatory environments, and AI enablement visions • Own multi-workstream engagements and drive executive alignment and 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 an AI governance 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, including risk tiering, model risk management, and platform/tool approval processes • Operating model design experience, including roles, RACIs, and 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 NIST AI RMF, EU AI Act, and ISO/IEC 42001 • Working knowledge of data platforms and AI ecosystems such as Snowflake, AWS, and Claude • Proven consulting delivery skills, including problem framing, hypothesis-driven analysis, and executive-ready deliverables • Excellent communication and storytelling skills; ability to translate complex governance concepts for business audiences • 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 • 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 to work with industry leaders including Snowflake, AWS, Anthropic, Glean, and dbt • Real ownership over work and autonomy • Inclusive environment and commitment to diversity • Equal opportunity employer • Disability accommodations available upon request
Apply Nowđź•’ September 14
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