About this role
Senior Data Science Fellow leading enterprise AI strategy at Boston Scientific; responsible for AI/analytics adoption, governance, and data strategy across global functions.
Key Responsibilities
- Shape and lead the enterprise AI and data science strategy, aligning technology investments with long-term priorities
- Accelerate adoption of AI, ML, and data-driven tools across global teams
- Identify high-impact AI opportunities and guide end-to-end execution
- Build organizational readiness for data solutions through change leadership and data governance standards
- Mentor analytical talent and communicate strategies to executives
Technical Overview
Scope includes AI governance, model lifecycle management, data quality, data architecture, and deployment of scalable analytics platforms; collaborates with IT, data engineering, and business leaders to drive value.
Ideal Candidate
The ideal candidate is a senior data science leader with a deep background in AI/analytics across global, regulated environments, skilled at shaping enterprise AI strategy, governance, and data architecture; 10+ years of experience and strong stakeholder influence.
Must-Have Skills
Bachelor's degree in engineeringstatisticsdata scienceor related fieldMinimum of 10 years of professionalindustry experience pioneering technology advancementideally (but not needed to be exclusively) in data scienceAI/MLor advanced analytics initiatives in a complexglobalor regulated environmentStrong understanding of AI governancemodel lifecycle managementdata qualityand ethical AI considerationsExpertise with modern ML/AI platformsarchitecturesand data ecosystems; ability to evaluate emerging tools and technologiesExperience working with large datasets and accessing and combining data across multiple systemsDemonstrated success driving organizational adoption of technologies and shaping long-term data and digital strategy at an enterprise levelProven ability to influence without authority and align diverse global stakeholdersincluding executivestechnical teamsand operational leadersAbility to interface effectively with internal stakeholders and senior leadershipExceptional storytelling and communication skillswith the ability to simplify complex concepts for non-technical audiences
Nice-to-Have Skills
Master's degree in data sciencecomputer scienceengineeringstatisticsbiomedical informaticsor related quantitative fieldStrong global mindset with experience collaborating across culturesgeographiesand disciplinesTrack record of delivering high-impact business solutions that drive measurable business value
Required Skills
Data ScienceArtificial IntelligenceAIMachine LearningMLData AnalyticsData GovernanceModel Lifecycle ManagementEthical AIAnalytics PlatformsData ArchitectureModel DeploymentData QualityChange LeadershipStakeholder ManagementExecutive CommunicationData EngineeringBig Data
Hard Skills
Artificial IntelligenceAIMachine LearningMLData ScienceData AnalyticsData GovernanceModel Lifecycle ManagementEthical AIAnalytics PlatformsData ArchitectureModel DeploymentData QualityChange LeadershipStakeholder ManagementExecutive CommunicationData EngineeringBig DataEnterprise Data Strategy
Soft Skills
CommunicationLeadershipCross-functional CollaborationStakeholder ManagementChange LeadershipMentoringExecutive Communication
Keywords for Your Resume
Data Science FellowArtificial IntelligenceAIMachine LearningMLdata analyticsData GovernanceModel Lifecycle ManagementEthical AIAnalytics PlatformsData ArchitectureModel DeploymentData QualityChange LeadershipStakeholder ManagementExecutive CommunicationEnterprise Data StrategyData EngineeringBig Data
Deal Breakers
Lack of 10+ years of data science/AI/analytics leadership experience, No experience with enterprise AI strategy or governance, Lack of ability to influence senior stakeholders
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile