Sr Program Manager - AI Products

MiniMed•Los Angeles, CA

1d•$150,000 - $256,000•Hybrid

About The Position

The Senior Program Manager, AI Products is responsible for leading the planning and cross-functional execution of enterprise AI initiatives across MiniMed business functions, including Commercial, Marketing, Finance, and Quality. This role serves as a strategic and technical bridge between business stakeholders, AI Engineering, Data Science, Product, and supporting enterprise teams within MiniMed's Transformation Organization. This leader drives the end-to-end delivery of AI product and program outcomes from use case definition and business case development through implementation, adoption, value realization, and continuous improvement. The role is accountable for aligning priorities across teams, establishing strong program governance, proactively managing risks and dependencies, and ensuring AI initiatives deliver measurable business value in a regulated MedTech environment. The Senior Program Manager, AI Products shapes the enterprise AI portfolio by connecting business priorities to technical capabilities, helping functions define success metrics, and ensuring initiatives are coordinated with broader roadmap, readiness, compliance, and change adoption needs. This role requires a strong blend of product thinking, strategic problem solving, operational rigor, and executive presence. The ideal candidate is comfortable working through ambiguity, influencing across functions, and turning broad ideas into practical, scalable programs.

Requirements

Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, Business, or a related field and 7+ years of experience in program management, technical program management, product management, or related strategic delivery roles with progressively increasing scope and complexity
Or, advanced degree in Computer Science, Data Science, Engineering, Information Systems, Business, or a related field and 7+ years of experience in program management, technical program management, product management, or related strategic delivery roles with progressively increasing scope and complexity

Nice To Haves

Proven track record of leading enterprise AI or AI-enabled product initiatives from concept through deployment and business adoption
Demonstrated success coordinating work across multiple business functions such as Commercial, Finance, Marketing, Quality, or similar areas
Excellent written and verbal communication skills, including experience preparing materials for executive audiences
Experience building business cases, prioritizing investments, and managing tradeoffs across scope, budget, and timelines
Strong understanding of the AI/ML lifecycle, including use case definition, data readiness, model development, deployment, monitoring, and ongoing optimization
Familiarity with generative AI and LLM patterns such as retrieval-augmented generation, fine-tuning, prompt engineering, and embeddings
Working knowledge of MLOps concepts, machine learning delivery pipelines, and associated governance considerations
Exposure to modern data platforms and architecture concepts, including APIs, lakehouses, vector databases, and ETL/ELT pipelines
Familiarity with cloud AI platforms such as Azure AI, AWS SageMaker, or Google Vertex AI
Experience building integrated plans, managing dependencies, and driving execution across matrixed teams without direct reporting authority
Strong communication, facilitation, stakeholder management, and executive presentation skills
Proficiency with Agile and program delivery tools such as Jira, Confluence, and related planning platforms
Master’s degree in Business Administration, Data Science, Artificial Intelligence, Engineering, or a related field
Experience in a regulated industry such as medical devices, pharmaceuticals, or financial services
Experience with enterprise AI governance, Responsible AI, model risk management, or related control frameworks
Background in large-scale digital transformation programs, including organizational readiness and change adoption
Knowledge of enterprise generative AI platforms such as OpenAI, Azure OpenAI, or Anthropic Claude
Exposure to CRM or ERP platforms such as Salesforce or SAP and their AI extension ecosystems
Project Management Professional (PMP), Program Management Professional (PgMP), or equivalent
SAFe Agilist (SA) or similar enterprise delivery certification
AWS, Azure, or GCP AI, Data, or Cloud certifications

Responsibilities

Lead the planning and evolution of the AI products and initiatives portfolio across Commercial, Marketing, Finance, Quality, and other business functions
Partner with business leaders and technical teams to identify, evaluate, prioritize, and sequence high-value AI opportunities with clear business outcomes and measurable success criteria
Translate complex business needs into scalable AI product and program opportunities, balancing strategic value, feasibility, risk, and organizational readiness
Build business cases for investment, prioritize work against resource constraints, and help manage budget tradeoffs
Define and track KPIs to measure adoption, value realization, and operational impact
Translate ambiguous business problems into clear product plans, success metrics, and execution roadmaps, including release management, testing, training, compliance, and adoption activities
Communicate clearly and effectively with senior leadership, including concise recommendations and actionable next steps
Lead cross-functional execution of AI initiatives from discovery and data readiness through deployment, adoption, monitoring, and continuous improvement
Build and manage integrated program plans that coordinate deliverables, milestones, dependencies, decisions, and risks across business and technical teams
Partner closely with AI Engineering, Data Science, Product, Architecture, Security, and business stakeholders to ensure delivery alignment and execution discipline
Drive issue resolution, escalation management, and proactive risk mitigation to maintain delivery momentum and predictability
Ensure AI initiatives are implemented responsibly, with appropriate attention to quality, safety, privacy, compliance, and change management
Establish and lead program governance structures, decision-making forums, and operating rhythms that enable transparency, alignment, and timely execution
Drive executive reporting, including program updates, risks, tradeoffs, milestones, and decision points
Coordinate planning and progress reviews across multiple teams to maintain alignment on scope, milestones, dependencies, and outcomes
Create clear mechanisms for tracking actions, risks, dependencies, and executive decisions across the portfolio
Drive alignment between strategic objectives and execution plans, ensuring teams remain focused on the highest-value outcomes
Build trusted partnerships with business leaders and functional stakeholders to shape AI use cases, operating models, and implementation approaches
Lead discovery and planning workshops to refine business problems, define target outcomes, and clarify success measures
Develop business cases that include cost-benefit analysis, expected efficiency gains, operational impact, and risk-adjusted value
Partner with stakeholders to drive organizational readiness, process alignment, training inputs, and change adoption plans for AI-enabled capabilities
Ensure business and technical teams remain aligned throughout execution, launch, and post-launch stabilization
Define and track KPIs for AI initiatives, including adoption, business outcomes, automation impact, model performance, operational effectiveness, and portfolio value realization
Develop reporting and review mechanisms that provide leadership with clear visibility into program health, outcomes, and ROI
Use performance insights, experimentation results, and stakeholder feedback to inform roadmap decisions and continuous improvement
Monitor whether deployed capabilities are delivering intended value and coordinate corrective actions when needed