Description

Key Responsibilities
•    End-to-end program ownership
o    Lead complex AI/ML, Data Science, and Analytics programs from ideation, scoping, and planning through execution, launch, and post-launch optimization.
o    Own program and project outcomes end-to-end, being accountable for on-time, on-budget delivery that meets or exceeds stakeholder expectations.
o    Develop and manage integrated roadmaps, plans, milestones, and dependencies across multiple teams and workstreams.
•    Delivery and execution
o    Drive disciplined execution across multiple Agile teams, ensuring clarity of scope, priorities, and success metrics.
o    Proactively identify and manage risks, issues, and interdependencies; remove obstacles to keep teams moving.
o    Implement and maintain robust tracking of schedules, budgets, resources, and KPIs, providing clear visibility to stakeholders.
•    AI/ML and analytics program leadership
o    Manage large-scale AI/ML and analytics initiatives at Fortune 100 scale, coordinating with data scientists, ML engineers, data engineers, software engineers, and product teams.
o    Ensure that technical efforts align with business objectives, regulatory requirements, and technology strategy.
o    Help teams translate ambiguous business problems into structured AI/ML projects with clear deliverables and outcomes.
•    Cross-functional and executive collaboration
o    Partner with business leaders, product, technology, operations, and risk/compliance to align on priorities and success criteria.
o    Prepare and deliver concise, executive-ready updates, dashboards, and communications on program status, risks, and value.
o    Secure executive buy-in for new initiatives by clearly articulating business cases, tradeoffs, and impact.
•    Agile leadership and ways of working
o    Champion Agile methodologies across multiple teams, ensuring alignment on ceremonies, artifacts, and best practices.
o    Foster a culture of continuous improvement, experimentation, and learning while maintaining strong delivery discipline.
o    Help shape and refine processes, governance, and tooling to support efficient, scalable AI/ML delivery.
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Required Qualifications
•    Education & credentials
o    Bachelor’s degree in Project Management, Program Management, or Computer Science (strongly preferred).
o    Bachelor’s degree in a related field (e.g., Business, Engineering, Information Systems) may be considered with equivalent experience.
o    Relevant project/program management certifications (e.g., PMP, PgMP, PMI-ACP, SAFe, ScrumMaster, PRINCE2, or equivalent).
•    Experience
o    8+ years of program and project management experience in Agile environments, owning and being accountable for delivery on time and within budget.
o    8+ years of experience managing large-scale AI/ML, Data Science, and Analytics programs and projects from inception to delivery at Fortune 100 or similarly large enterprise scale.
o    Proven track record of leading complex, cross-functional technology programs with multiple stakeholders and dependencies.
 
 

Key Skills

Education

Bachelor's degree