The Director, AI Program Management will be responsible for overseeing and coordinating the organization's portfolio of AI-related initiatives. This role will ensure effective planning, execution, governance, and stakeholder alignment across all AI programs, including AI battleground initiatives and AI vendor management.
The successful candidate will combine strong program management expertise with a solid understanding of AI technologies and their business applications. The role requires exceptional communication, planning, and organizational skills, with the ability to drive complex cross-functional initiatives across a global organization. This position is intended to progressively assume responsibility for managing and coordinating AI activities currently supported by external advisors and partners.
Program Leadership & Delivery
- Lead the planning, execution, and delivery of strategic AI initiatives across the organization.
- Develop and maintain integrated project plans, timelines, budgets, and resource allocation.
- Establish governance frameworks and reporting processes for AI programs.
- Track milestones, risks, dependencies, and overall program performance.
AI Portfolio Management
- Coordinate all AI-related activities and strategic initiatives.
- Prioritize projects based on business needs, resource availability, and expected impact.
- Ensure alignment between AI initiatives and corporate objectives.
- Monitor progress and provide regular updates to executive leadership.
AI Battleground Management
- Coordinate AI competitive intelligence and AI battleground activities.
- Manage cross-functional teams involved in evaluating emerging AI technologies and market developments.
- Support decision-making through structured program oversight and reporting.
Vendor Management
- Manage relationships with AI technology vendors, consultants, and strategic partners.
- Oversee vendor selection, contract management, performance reviews, and delivery governance.
- Ensure external partners meet agreed objectives, timelines, and quality standards.
Stakeholder Management & Communication
- Serve as the primary program management lead across business, scientific, technology, and operational teams.
- Facilitate executive reviews, steering committee meetings, and stakeholder communications.
- Drive collaboration and alignment among senior leaders and project teams.
- Prepare presentations, status reports, and business cases for leadership review.
Process & Governance
- Implement program management with best practices and standards.
- Establish metrics and dashboards to measure program effectiveness and ROI.
- Identify and mitigate risks impacting delivery timelines or business outcomes.
- Promote continuous improvement in AI project execution and governance.
- Bachelor’s degree in business, Technology, Engineering, Data Science, or related field.
- 10+ years of project or program management experience, including leading complex, cross-functional initiatives.
- Demonstrated experience managing strategic programs involving technology or digital transformation.
- Strong understanding of Artificial Intelligence, Machine Learning, and Generative AI concepts.
- Proven experience managing executive stakeholders and external vendors.
- Excellent communication, planning, organizational, and problem-solving skills.
Preferred
- PMP, PgMP, Agile, Prince2, or equivalent project management certification.
- Experience managing enterprise AI transformation programs.
- Experience within life sciences, healthcare, technology, or consulting environments.
- Master's degree or MBA.
#LI-KO1
Skills Required
- Bachelor's degree in business, technology, engineering, data science, or a related field
- 10+ years of project or program management experience
- Experience leading complex, cross-functional initiatives
- Experience managing strategic programs involving technology or digital transformation
- Strong understanding of Artificial Intelligence, Machine Learning, and Generative AI concepts
- Experience managing executive stakeholders and external vendors
- Excellent communication, planning, organizational, and problem-solving skills
- PMP, PgMP, Agile, Prince2, or equivalent project management certification
- Experience managing enterprise AI transformation programs
- Experience within life sciences, healthcare, technology, or consulting environments
- Master's degree or MBA
Cytel Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cytel and has not been reviewed or approved by Cytel.
-
Healthcare Strength — Health coverage is described as comprehensive, spanning medical, dental, vision, life and disability, with FSAs/HSAs also available. Plan quality is often characterized as good to excellent, which lifts the perceived value of the overall package.
-
Retirement Support — A 401(k) with employer match is consistently part of the benefits package. The plan is also characterized as well managed, contributing to a sense of baseline retirement support.
-
Fair & Transparent Compensation — Overall pay is characterized as decent-to-good and broadly competitive in parts of the business, with stronger alignment noted in senior technical tracks like biostatistics and programming. The total package is often framed as respectable rather than premium.
Cytel Insights
What We Do
Cytel enables decision-makers in the life sciences to unlock the full potential of their products. From navigating uncertainty to proving value, Cytel’s 30 years of global expertise in consulting, data-driven analytics, and industry-leading software helps biotech and pharmaceutical companies transform intelligence into confident decisions. We have an uncompromising commitment to scientific rigor and high standards of operational excellence, which are channeled through our locations in North America, Europe, the United Kingdom, and Asia. Together, we enable our clients to deliver the therapies that propel humanity forward. Cytel employs a range of data science tools from biostatistics to machine learning to help executives in the life-sciences to make confident decisions powered by data. We are probably best known for being leaders in the field of adaptive clinical trial design, a subset of trial design that uses interim looks to enhance the patient safety and commercial value of pharmaceutical products. We also have specialists in Bayesian statistics, real world evidence, artificial intelligence, health economics, and a number of other research fields to ensure that academic and scientific findings can have impact on industry quickly and seamlessly. www.cytel.com








