Job Title

Job Description

Senior Data Analytics Lead

Responsible for operationalizing and supporting Quality/Manufacturing Operations analytics by defining and monitoring KPIs, creating insights through data visualization, and enhancing decision-making processes through Artificial Intelligence (AI).

Your role:

• Develop and execute an Analytics/AI strategy across quality Operations and 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).
• Collaboration with Program Managers, Operations teams, and Business Stakeholders to streamline reporting, automate processes, and centralize program data to ensure alignment with strategic objectives.

You're the right fit if:

• You have a minimum of 10+ years’ experience in highly regulated Quality/Manufacturing operations environments (FDA Regulated Medical Device/Pharma preferred), with a focus on data analytics, AI and reporting, including managing and visualizing complex datasets in areas such as Quality Management Systems, Audits, CAPA, Nonconformance and Production controls.
• You’re proficient in data analytics, AI tools/strategy-Power BI, Tableau, Power Apps, Data Bricks, Snowflake, Azure etc. and programming languages (Python, R, SQL), demonstrating strong ability to design and maintain dashboards, delivering actionable insights that enable informed decision-making.
• You have a proven track record of automating processes and centralizing data systems to improve efficiency.
• You’re familiar with ISO 13485, FDA 21 CFR Part 820, and other regulatory frameworks for medical devices.
• 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 hold a Bachelor’s Degree in Data Analytics, Computer Science, Mechanical Engineering, Industrial Engineering or a related field. Master’s Degree desired.
• You have advanced communication abilities in English (written/verbal), 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 we are apart. For our Office-based teams, this means working in-person at least 3 days per week.

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 improve the lives of others.

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

Additional Information:

• Company relocation benefits will not be provided for this position.  For this position, you must reside in or within commuting distance to Alajuela, Costa Rica.

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