Data and AI Leader

Job Responsibilities:

• Directs the development and implementation of the data science and AI strategy, ensuring alignment with organizational goals, market trends, and emerging technologies to drive innovation and competitive advantage.
• Oversees capability and maturity assessments of data science and AI initiatives, identifying measures and actions to enhance effectiveness, efficiency, and continuous improvement.
• Manages resource allocation and budgeting cycles, effectively managing resources and overseeing vendor relationships to ensure optimal utilization and alignment with project objectives.
• Evaluates emerging technologies, open-source libraries, and big data platforms, assessing their suitability and potential impact on AI initiatives, and recommending adoption strategies.
• Coordinates interfaces with key stakeholders across the product lifecycle, ensuring alignment of AI initiatives with business objectives, optimizing deployment strategies, and enhancing consumer experience.
• Directs cross-functional projects and initiatives, acting as a line manager within own domain, shaping development practices, technologies, and strategies to drive business success and innovation.
• Develops data transformation, acquisition, and governance strategies aligned with business and company strategy, ensuring data availability, quality, integrity, and support for informed decision-making.
• Drives strategic projects and initiatives to address business needs, collaborating with stakeholders to define objectives, scope, and deliverables, and overseeing project execution to ensure successful outcomes and value creation.
• Represents the organization in industry forums, conferences, and events, advocating for the company's data and AI interests, fostering partnerships, and promoting thought leadership and innovation.
• Leads succession planning and comprehensive talent management, driving employee selection, performance management, compensation management, and career development in alignment with organizational operational goals.

Minimum required Education:
Bachelor's / Master's Degree in Computer Science, Information Management, Data Science, Econometrics, Artificial Intelligence, Applied Mathematics, Statistics or equivalent.

Minimum required Experience:
Minimum 8 years of experience with Bachelor's OR Minimum 6 years of experience with Master's in areas such as Data Handling, Data Analytics, AI Modeling or equivalent.

Preferred Skills:

• Statistical Methods
• Data Harmonization & Processing
• Artificial Intelligence (AI)
• AI Algorithm Development
• DevOps
• Business Acumen
• Data Governance
• Continuous Improvement
• Data Warehousing (DW)
• Strategic Planning
• Regulatory Requirements
• People Management
• Stakeholder Management

How we work together
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.
Onsite roles require full-time presence in the company’s facilities.
Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.
Indicate if this role is an office/field/onsite role.
About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.

• Learn more about our business .
• Discover our rich and exciting history .
• Learn more about our purpose .

If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here .