Sr Data Analytics lead

The Senior Data Analytics Lead is an individual contributor responsible for operationalizing and supporting Ops analytics. This involves defining and monitoring KPIs, creating data visualizations for insights, and enhancing decision-making with AI. The role requires collaboration with Program Managers, Operations teams, and Business Stakeholders to streamline reporting, automate processes, and centralize program data, ensuring alignment with strategic objectives and providing actionable insights across the organization.

Must Have

• Develop and execute Analytics and AI strategy for Operations.
• Consolidate and centralize operations and program data.
• Lead Analytics Community of Practice.
• Aid leadership in data-driven decisions.
• Improve KPI tracking and alignment with Operations goals.
• Create dashboards, reports, and visualizations.
• Automate reporting and data consolidation with AI.
• Define and monitor Operations KPIs.
• Bachelor’s or Master’s degree in Data Analytics or related field.
• 5-10 years experience in data analytics and reporting.
• Proficiency in Power BI, Tableau, Python, R.
• Experience automating processes and centralizing data systems.
• Familiarity with ISO 13485, FDA 21 CFR Part 820.
• Experience with QMS processes (CAPA, Nonconformance, Calibration).
• Ability to design and maintain dashboards for actionable insights.
• Experience leading analytics initiatives or teams.
• Strong communication and stakeholder management skills.

Job Description

The Senior Data Analytics Lead is an individual contributor role responsible for operationalizing and supporting Ops analytics by defining and monitoring KPIs, creating insights through data visualization, and enhancing decision-making processes through AI. This role involves close collaboration with Program Managers, Operations teams, and Business Stakeholders to streamline reporting, automate processes, and centralize program data to ensure alignment with strategic objectives.

The Data Analytics Lead collaborates with various stakeholders across the organization to provide actionable insights, streamline analytics processes, and enable data-driven decision-making. The role involves working with teams from multiple levels and areas of expertise. Depending on the scope of responsibilities, the Data Analytics Lead might work with stakeholders from one or more of the following:

• Program /Project Managers and Leadership Teams
• Manufacturing and Distribution Sites
• Centre of Excellence (CoE) Groups
• PS&Q Data & Analytics Teams
• IT and Data Engineering Teams

Your role:

• Develop and execute an Analytics and AI strategy across Operations.
• Develop tools to consolidate and centralize operations (e.g. CAPA, Nonconformance, Calibrations) and program data, enabling better visibility and decision-making.
• Lead the Analytics Communicate of Practice and develop local analytics Subject Matter Experts.
• Aid Program Managers, Business Process Owners and Operations leadership in making data-driven decisions.
• Identify opportunities to improve KPI tracking and ensure alignment with Operations goals and strategy.
• Create dashboards, reports, and visualizations to enhance Operation’s performance tracking.
• Identify opportunities to streamline reporting and analytics processes for efficiency.
• Enhance productivity by automating routine reporting and data consolidation activities through AI.
• Define, operationalize, and support the monitoring of Operations KPIs (e.g. CAPA, Nonconformance, Calibrations).

You're the right fit if:

• You hold a Bachelor’s or Master’s degree in Data Analytics, Computer Science, Mechanical Engineering, Industrial Engineering or a related field.
• You have 5–10 years of experience in data analytics and reporting, including managing and visualizing complex datasets in areas such as Quality Management Systems, Quality Audits or equivalent in highly regulated environments/industries such as MD, Pharma, Automotive.
• You are proficient in analytics tools (Power BI, Tableau) and programming languages (Python, R).
• You have a proven track record of automating processes and centralizing data systems to improve efficiency.
• You are familiar with ISO 13485, FDA 21 CFR Part 820, and other regulatory frameworks for medical devices.
• You have experience with Quality Management Systems (QMS) and processes such as CAPA, Nonconformance, Calibration, and Production Controls.
• You demonstrate strong ability to design and maintain dashboards, delivering actionable insights that enable informed decision-making.
• You have experience leading analytics initiatives or teams, fostering collaboration across cross-functional groups.
• You proactively identify data risks and implement solutions to maintain data integrity and accuracy.
• You excel in soft skills: strong communication, influencing, and stakeholder management, with the ability to explain technical concepts to non-technical audiences and senior leadership.
• You are committed to driving continuous improvement, measured by KPIs such as process automation, dashboard adoption, and stakeholder satisfaction.

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.

About Us

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.

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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

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#LI-EU

At Philips, we believe that every human matters. As a global health-tech leader, we focus on improving people’s health and wellbeing through meaningful innovation. The people who work here share our passion and are motivated to bring this purpose to life.

For more than 130 years, we have been creating technologies and innovations that improve people's lives and support healthcare practitioners. Headquartered in the Netherlands and operating in more than 100 countries globally, we focus our advanced technology and deep clinical and consumer insights on Precision Diagnosis, Image Guided Therapy, Enterprise Informatics, Monitoring/ Connected Care, Sleep & Respiratory Care and Personal Health.

Together, we deliver better care for more people because we believe that every human matters. That's why we're taking steps to create an environment where we acknowledge and embrace our differences and uniqueness and listen to and value each other's views. When people feel cared for and listened to, they bring their best qualities to work, leading to better collaboration, communication, innovation and success.

It is the policy of Philips to provide equal employment and advancement opportunities to all qualified employees and applicants for employment without regard to race, color, religion, sex, pregnancy/childbirth or related medical conditions, age, ethnic or national origin, sexual orientation, gender identity or expression, physical or mental disability, genetic information, citizenship status, veteran or military status, marital or domestic partner status or any other characteristic protected by law. As an equal opportunity employer, Philips is committed to fostering a culture where all are treated with respect and professionalism.

To ensure reasonable accommodations for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veterans' Readjustment Act of 1974 and Title I of the Americans with Disabilities Act of 1990, applicants that require accommodation in the job application process may contact 888-367-7223, option 5, for assistance.

Philips is an Equal Employment and Opportunity Employer including Disability/Vets and maintains a drug-free workplace.

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