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Tech Stack
Tools & technologiesCloud
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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI strategydata strategyroadmap designoperating modelsdata governanceAI governanceML pipelinesbusiness case developmentstakeholder engagementconsulting fundamentals
Soft Skills
strategic thinkingexecutive presencedelivery qualitymentoringcollaborationchange managementcommunicationrelationship managementproblem-solvingcoaching