Director, Data & AI Portfolio
About The Position
The Director, Data & AI Portfolio partners with Data and AI leaders to shape and execute enterprise AI strategy, establish and lead portfolio management capabilities, and accelerate business transformation to deliver measurable organizational value. The role serves as a strategic partner to senior business and functional leaders, translating enterprise priorities into actionable AI opportunities, informed investment decisions, and high-impact transformation initiatives. The director establishes frameworks, processes, and governance to ensure AI investments are strategically aligned, effectively prioritized, and positioned to deliver sustainable business outcomes. The position calls for strategic thinking, financial and business acumen, enterprise portfolio leadership, and organizational change expertise to move AI initiatives from experimentation to scaled adoption and measurable value realization. It may be based in Marlborough, Massachusetts, or Arden Hills, Minnesota, and follows a hybrid work model requiring at least three days per week in a local office. Domestic travel between Boston Scientific offices of up to 10% is required. Visa sponsorship and relocation assistance are not available for this position.
Requirements
- Bachelor’s degree in engineering, business, or a related field.
- At least 10 years of experience in strategy, business transformation, portfolio management, technology strategy, consulting, or related disciplines.
- Demonstrated experience leading enterprise strategic initiatives and complex, cross-functional transformation programs.
- Strong understanding of Data and AI capabilities, business applications, and organizational requirements for driving measurable business value.
- Proven ability to influence senior executives and drive alignment across complex, large-scale global matrixed organizations.
- Relevant experience evaluating strategic investments, developing business cases, and managing enterprise portfolios against defined objectives and performance measures.
- Strong financial acumen, analytical capabilities, and experience measuring business performance and investment outcomes.
- Demonstrated people leadership, stakeholder management, organizational change management, and executive communication skills.
- Willingness to travel between Boston Scientific offices domestically up to 10%.
Nice To Haves
- Experience in medical devices, health care, life sciences, or another highly regulated industry.
- Background in management consulting, corporate strategy, enterprise transformation, or digital and AI strategy.
- Proven experience establishing enterprise capabilities, operating models, portfolio governance frameworks, or investment management processes.
- Familiarity with AI product lifecycles, responsible AI principles, and enterprise technology investment practices.
Responsibilities
- Establish and lead the enterprise Data & AI portfolio management capability, ensuring strategic alignment, effective prioritization, governance, and measurable investment outcomes.
- Develop and implement portfolio management processes to track initiative progress, investment performance, adoption, and business value realization.
- Create executive-level portfolio reports, dashboards, and actionable recommendations to support investment decisions and continuous improvement.
- Partner with senior business and functional leaders to identify, evaluate, and shape high-impact AI opportunities that address business challenges and unlock enterprise value.
- Establish structured business engagement and intake processes for consistent evaluation, prioritization, and management of AI initiatives.
- Develop standardized assessment frameworks to evaluate strategic alignment, business value, technical feasibility, organizational readiness, and resource requirements.
- Maintain a transparent, prioritized pipeline of Data and AI initiatives across business functions and divisions.
- Partner with cross-functional stakeholders to guide strategic planning, investment decisions, and resource allocation toward high-impact initiatives.
- Lead executive communications and stakeholder engagement to build awareness, alignment, and support for enterprise AI priorities.
- Identify and address organizational, operational, cultural, and capability barriers to AI adoption while promoting responsible AI practices and continuous improvement.
- Lead, coach, and develop a high-performing team across strategy, portfolio management, investment analysis, and business transformation.
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What This Job Offers
Job Type
Full-time
Career Level
Director
