Partner with IT, business units, and executive leadership to ensure Data and AI platform capabilities are tightly aligned with evolving business strategies and priorities
Lead AI product strategy and execution by working with business teams to discover, prioritize, and deliver analytics and AI use cases that drive measurable outcomes
Partner with BU teams, Data & AI platform and Enterprise Data Governance teams to define and execute a roadmap and to build a data foundation based on prioritized use cases
Ensure analytics solutions are scalable, sustainable, and aligned with enterprise architecture and governance standards
Translate business problems into Conversational AI, Agentic AI, or ML solutions with clear data requirements and success criteria
Lead product lifecycle management, including Model development, testing, production rollout, incident response, monitoring, performance tuning, and ongoing enhancement
Operationalize self service analytics capabilities and scalable data pipelines across BU to accelerate insight delivery for business stakeholders
Build trusted relationships with senior business leaders to influence decision-making and embed analytics into core processes and measure ROI & business impact
Define required skillsets and build talent to develop AI and cloud capabilities across businesses
Lead and develop analytics managers and team leads, growing individual capability across data science, and advanced analytics
Manage program delivery, track KPIs and ROI, and present business facing scorecards and updates to stakeholders and steering committees

Requirements

Bachelor’s degree or higher
7+ years of experience delivering AI solutions at enterprise scale, including production ML/AI deployments
5+ years of experience of leading AI and analytics teams across a large organization
5+ years of experience in product leadership or end to end ownership of data or AI products
5+ years of experience success building, upskilling, and leading cross functional analytics and AI teams
5+ years of experience in cloud based AI and analytics (e.g., AWS, Azure or GCP)
5+ years of experience in ML lifecycle, generative AI, Agentic AI, MLOps, and production engineering
5+ years of experience in being a thought leader and advocate for analytics, AI, and data-driven decision-making to solve key business problems and generate tangible business value
5+ years of experience to translate complex technical insights into clear, compelling narratives tailored to executive, technical, and operational audiences
5+ years of experience in orchestrating collaboration across architecture, product management, business teams and other stakeholders to ensure seamless delivery and adoption of Data and AI capabilities
3+ years of experience managing and prioritizing capability backlogs, coordinating cross-functional teams, and overseeing PMO activities to ensure timely delivery and value realization
3+ years of experience stakeholder management skills across technical and business audiences

Benefits

health insurance
flexible spending accounts
health savings accounts
retirement savings plans
life and disability insurance programs
paid and unpaid time away from work

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI solutionsML lifecyclegenerative AIAgentic AIMLOpsdata pipelinesanalytics solutionsproduct lifecycle managementperformance tuningdata foundation

Soft Skills

leadershipinfluence decision-makingrelationship buildingcommunicationcollaborationstakeholder managementteam developmentproblem-solvingnarrative translationorganizational skills

Certifications

Bachelor’s degreeMaster’s degree