Data & AI Strategy Leader

phData

AI & Data Strategy Leader guiding strategy engagements and collaborating with senior executives at phData. Driving innovation and measurable outcomes through AI and data strategy.

Posted 5/27/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI strategydata strategyroadmap designoperating modelsdata governanceAI governanceML pipelinesbusiness case developmentstakeholder engagementconsulting fundamentals

Soft Skills

strategic thinkingexecutive presencedelivery qualitymentoringcollaborationchange managementcommunicationrelationship managementproblem-solvingcoaching

Tools & Technologies

cloud platformsdata platformsAI/data platformsanalytics toolsdiscovery workshopsprioritization workshopsclient presentationssales pursuitscollateral developmentcross-practice collaboration

Industry Keywords

C-suitecustomer experiencerevenue objectivesrisk managementscalabilitytotal cost of ownership (TCO)regulatory compliancedata engineeringAI/MLconsulting leadership

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Lead AI & data strategy engagements end-to-end: problem definition, readiness assessment, use case prioritization, and design of roadmaps and operating models tied to revenue, customer experience, and innovation objectives
Own engagement delivery; manage scope and risk, maintain executive-level stakeholder relationships (including C-suite), and facilitate high-impact discovery, prioritization, and "art of the possible" workshops
Bridge the gap between business needs and technology: develop balanced technical, organizational, and process recommendations and build compelling narratives and rigorous business cases for AI/data investments
Architect future-state AI & data operating models and technology stacks with a focus on safety, scalability, TCO, and regulatory compliance
Provide delivery oversight for AI/data platforms; ensure execution aligns with agreed strategy; own quality of all engagement outputs and coach project team members on consulting fundamentals and business impact
Serve as a trusted advisor to day-to-day client sponsors and senior stakeholders, owning relationships, aligning on delivery roadmaps, 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 (Data Engineering, Analytics, AI/ML, Advisory) to design and deliver end-to-end solutions that drive customer success
Contribute to phData's AI & Data Strategy offerings: methods, frameworks, accelerators, and client-ready collateral
Support sales pursuits, client presentations, and thought leadership focused on AI and data strategy
Mentor consultants and senior consultants on strategic thinking, executive presence, and delivery quality

Requirements

What you’ll need

6+ years as a hands-on AI or data strategy leader, owning strategy engagements and roadmaps
2+ years of consulting leadership with external clients, managing multiple workstreams and teams
Proven ability to engage senior stakeholders (including C-suite) and deliver a clear, compelling story behind recommendations
Experience identifying and prioritizing AI/data opportunities, designing roadmaps and operating models, and building business cases tied to revenue, cost, risk, and customer experience
Strong technical literacy across modern cloud and data platforms, data governance, AI governance, and ML pipelines, and how these connect to business outcomes
Experience leading workshops (discovery, prioritization, "art of the possible"), driving change and adoption, and coaching/mentoring consultants and technical leaders
Track record collaborating with client stakeholders, partners, and cross-functional teams with high ownership and accountability
Extensive experience leading multi-engagement or multi-year AI/data strategy portfolios

Benefits

Comp & perks

Remote-first company culture
Opportunities for professional development
Autonomous work environment
Competitive compensation packages