Sr. Director, Dynamic Measurement and Testing AI Product Owner, AIA

Role Summary

The Dynamic Measurement and Testing AI Product Owner leads the end-to-end delivery of prioritized AI use cases for marketing AI initiatives, including Pfizer Insights Engine, Omni-channel Orchestrator, Dynamic Measurement and Testing, and Unified Marketing Interface. You will lead a cross-functional squad to turn high-value marketing use cases into reliable, compliant, and measurable AI capabilities for marketing teams in the US market, aligning with governance, roadmap, and organizational vision.

Responsibilities

• Translate approved business cases into an actionable pod roadmap; define scope, milestones, success metrics, and risks
• Own the backlog: intake, refine, size with the team, and prioritize to maximize value within capacity constraints
• Ensure design readiness: partner with translator/UX to keep problem statements, flows, prompts, and UI specs current
• Align with governance: confirm data access, model/feature approvals, risk controls, and compliance requirements before build
• Lead the pod through iterative development of models, prompts/agents, services, UI, and integrations; uphold coding, model, and prompt standards
• Release readiness: create implementation and test plans, run go/no-go with stakeholders, and schedule deployment windows
• Execute releases with DevOps/engineering; verify PRs/approvals are complete and standards met
• Run smoke tests in UAT and Production; validate guardrails, logs, and monitoring are live
• Coordinate enablement: short how-tos, quick-start guides, and in-flow training; collect structured user feedback in the first weeks post-launch
• Operate the capability against SLOs/SLAs (latency, accuracy, availability, cost)
• Triage and resolve user issues; communicate updates and workarounds
• Be the day-to-day point of contact for business owners; set expectations, surface trade-offs, and communicate progress and risks
• Track and report KPIs: business outcomes, adoption/active users, quality, incident trends, and delivery predictability
• Ensure all work adheres to AI and data governance (privacy, responsible AI, brand, medical/legal/regulatory as applicable)

Team & Ways of Working

• Lead a 6-10 person pod
• Create a culture of clarity, speed, and accountability
• Collaborate with platform/enterprise tech teams on architecture, data pipelines, MLOps, compliance and security
• Escalate capacity and dependency risks early; make crisp trade-off calls aligned to the marketing AI roadmap

Qualifications

• Required: Bachelor’s Degree
• Required: 12+ years of experience leading cross-functional commercial projects (graduate degrees can be substitute for experience)
• Required: Understanding of AI and machine learning frameworks and libraries
• Required: Experience in leading teams
• Preferred: Experience with cloud platforms and tools for deploying AI models, such as AWS, Google Cloud, or Azure
• Preferred: Experience in AI development, including hands-on experience with designing, training, and deploying AI models
• Preferred: Ability to lead and inspire a team, fostering collaboration and innovation
• Preferred: Strong project management skills, including the ability to plan, execute, and deliver projects on time
• Preferred: Excellent communication skills for articulating complex technical concepts to non-technical stakeholders
• Preferred: Strategic thinking to align AI initiatives with business goals and industry trends
• Preferred: Strong analytical and problem-solving skills to tackle complex challenges in AI development
• Preferred: Creativity to innovate and find novel solutions to problems
• Preferred: Understanding of ethical considerations and biases in AI, and commitment to developing responsible AI systems
• Preferred: Awareness of privacy and security issues related to AI and data handling
• Preferred: Understanding of marketing, brand management and commercial analytics to ensure relevant and impactful solutions

Additional Requirements

• Work location: Flexible; 2-3 days onsite/week