The AI Strategy & Transformation Senior Manager is responsible for shaping and executing the organization's AI strategy, leading enterprise-wide transformation programs, and driving the implementation of AI initiatives that deliver measurable business value. This role serves as a critical bridge between strategic vision and operational delivery, ensuring AI capabilities are embedded across functions at scale.
Key Responsibilities
1. Strategy & Key Initiatives
- AI Strategy Development: Define and evolve the enterprise AI transformation roadmap aligned with organizational priorities, identifying high-impact initiatives and emerging opportunities
- Stakeholder Alignment: Partner with senior leadership and cross-functional teams to build consensus on AI ambition, investment priorities, and sequencing of initiatives
2. Transformation Program Leadership
- Program Governance: Design and lead the AI transformation program framework, including operating models, governance structures, and success metrics
- Change Management: Drive organizational readiness through capability building, change adoption strategies, and cultural transformation toward AI-first ways of working
- Portfolio Management: Oversee the portfolio of AI initiatives, balancing quick wins with longer-term transformational bets
3. Implementation & Delivery
- Execution Oversight: Drive end-to-end implementation of AI solutions from proof-of-concept through to scaled deployment, ensuring timelines and outcomes are met
- Cross-Functional Collaboration: Work closely with data science, engineering, IT, and business teams to remove barriers and accelerate delivery
- Value Realization: Establish KPIs and tracking mechanisms to quantify business impact, continuously optimizing for ROI
Qualifications
- Experience: 5–8 years in strategy, transformation, or digital/AI roles, with experience on leading enterprise-scale AI or digital programs; pharmaceutical industry experience preferred
- Education: Bachelor's degree required; MBA or advanced degree in a relevant field preferred
- Strategic Acumen: Proven ability to translate complex technology landscapes into clear, actionable business strategies
- Leadership: Demonstrated experience influencing senior stakeholders and leading cross-functional teams without direct authority
- Technical Fluency: Strong understanding of AI/ML concepts, data infrastructure, and implementation considerations (hands-on technical expertise not required but advantageous)
- Delivery Track Record: History of successfully delivering transformation programs with measurable business outcomes
Preferred Attributes
- Experience in relevant industries (e.g., pharmaceuticals, healthcare, consulting)
- Familiarity with Agile/SAFe delivery frameworks and scaled AI operating models
- Strong storytelling and executive communication skills
- Comfort operating in ambiguity with a bias toward action
Date Posted
21-7月-2026
Closing Date
29-9月-2026
AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
