Data Mesh Director
Zimmer Biomet, Warsaw, IN, United States
At Zimmer Biomet, we believe in pushing the boundaries of innovation and driving our mission forward. As a global medical technology leader for nearly 100 years, a patient's mobility is enhanced by a Zimmer Biomet product or technology every 8 seconds.
As a Zimmer Biomet team member, you will share in our commitment to providing mobility and renewed life to people around the world. To support our talented team, we focus on development opportunities, robust employee resource groups (ERGs), a flexible working environment, location specific competitive total rewards, wellness incentives and a culture of recognition and performance awards. We are committed to creating an environment where every team member feels inspired, invested, cared for, valued, and have a strong sense of belonging.
What You Can Expect
Leads the design, build, and implementation of a product-centric data mesh that powers Zimmer Biomet's connected ecosystem of products and positions ZB as a leader in human mobility. Owns the strategy and execution of product-generated and external data across robotics, diagnostics, imaging, and health system integrations, transforming it into governed, scalable data products that enable analytics, AI, and digital product innovation. Establishes the architecture, governance, and operating model for domain-owned data while delivering enterprise-grade, centrally managed consumable data products such as Patient, Case, and Image.
How You'll Create Impact
Owns and evolves the product and customer data mesh strategy for ZB's ecosystem.
Ensures alignment between product teams, enterprise data platforms, and AI enablement initiatives.
Defines standards for domain ownership, data product design, quality, and lifecycle management.
Designs and implements scalable data architectures using modern data pipeline frameworks.
Builds enterprise-managed, production-ready data products that integrate data across multiple product domains.
Ensures interoperability with the enterprise data fabric, AI information layer, and downstream analytics and AI workloads.
Remains hands-on with coding to establish patterns, frameworks, and best practices for development teams.
Designs and builds complex, high-volume, and highly governed data pipelines end-to-end.
Sets technical standards for reliability, observability, security, and performance.
Establishes and enforces data governance across domain data owner groups - ensuring data products meet quality, traceability, lineage, and audit expectations in regulated environments.
Partners closely with QA/RA, security, and risk teams to enable scale without compromising compliance.
Builds, mentors, and leads a global team of data engineers and developers - developing clear development standards, onboarding materials, and reusable frameworks.
Fosters a culture of accountability, engineering excellence, and product-oriented thinking.
Communicates data strategy, architecture, and progress clearly to Product General Managers and senior stakeholders.
Translates business and product objectives into scalable data capabilities - acting as a bridge between product innovation and enterprise data standards.
What Makes You Stand Out
Experience with connected products, healthcare, MedTech, or regulated digital platforms
Familiarity with product telemetry, imaging data, robotics data, or health system integrations
Experience supporting analytics and AI use cases from a data platform perspective
Proven experience designing and delivering data mesh or domain-oriented data platforms
Strong hands-on expertise with Snowflake, Polumi, dbt, Python and modern data pipeline orchestration
Experience building large-scale, complex data pipelines under significant governance and regulatory scrutiny
Demonstrated ability to remain hands-on while leading and mentoring global teams
Experience working closely with product organizations and communicating technical concepts to non-technical leaders
Your Background
Preferred Qualification: 10+ years of experience in data engineering, data platforms, or analytics, with 5+ years in senior technical leadership roles
Minimum Qualification: Bachelor's Degree and 8 years of relevant experience, or Associate's Degree and 10 years of relevant experience, or High School Diploma or Equivalent and 12 years of relevant experience
Travel Expectations
Up to 15%
Expected Compensation
- $180,000-$230,000 base salary. Comprehensive bonus and LTI also offered.
EOE
As a Zimmer Biomet team member, you will share in our commitment to providing mobility and renewed life to people around the world. To support our talented team, we focus on development opportunities, robust employee resource groups (ERGs), a flexible working environment, location specific competitive total rewards, wellness incentives and a culture of recognition and performance awards. We are committed to creating an environment where every team member feels inspired, invested, cared for, valued, and have a strong sense of belonging.
What You Can Expect
Leads the design, build, and implementation of a product-centric data mesh that powers Zimmer Biomet's connected ecosystem of products and positions ZB as a leader in human mobility. Owns the strategy and execution of product-generated and external data across robotics, diagnostics, imaging, and health system integrations, transforming it into governed, scalable data products that enable analytics, AI, and digital product innovation. Establishes the architecture, governance, and operating model for domain-owned data while delivering enterprise-grade, centrally managed consumable data products such as Patient, Case, and Image.
How You'll Create Impact
Owns and evolves the product and customer data mesh strategy for ZB's ecosystem.
Ensures alignment between product teams, enterprise data platforms, and AI enablement initiatives.
Defines standards for domain ownership, data product design, quality, and lifecycle management.
Designs and implements scalable data architectures using modern data pipeline frameworks.
Builds enterprise-managed, production-ready data products that integrate data across multiple product domains.
Ensures interoperability with the enterprise data fabric, AI information layer, and downstream analytics and AI workloads.
Remains hands-on with coding to establish patterns, frameworks, and best practices for development teams.
Designs and builds complex, high-volume, and highly governed data pipelines end-to-end.
Sets technical standards for reliability, observability, security, and performance.
Establishes and enforces data governance across domain data owner groups - ensuring data products meet quality, traceability, lineage, and audit expectations in regulated environments.
Partners closely with QA/RA, security, and risk teams to enable scale without compromising compliance.
Builds, mentors, and leads a global team of data engineers and developers - developing clear development standards, onboarding materials, and reusable frameworks.
Fosters a culture of accountability, engineering excellence, and product-oriented thinking.
Communicates data strategy, architecture, and progress clearly to Product General Managers and senior stakeholders.
Translates business and product objectives into scalable data capabilities - acting as a bridge between product innovation and enterprise data standards.
What Makes You Stand Out
Experience with connected products, healthcare, MedTech, or regulated digital platforms
Familiarity with product telemetry, imaging data, robotics data, or health system integrations
Experience supporting analytics and AI use cases from a data platform perspective
Proven experience designing and delivering data mesh or domain-oriented data platforms
Strong hands-on expertise with Snowflake, Polumi, dbt, Python and modern data pipeline orchestration
Experience building large-scale, complex data pipelines under significant governance and regulatory scrutiny
Demonstrated ability to remain hands-on while leading and mentoring global teams
Experience working closely with product organizations and communicating technical concepts to non-technical leaders
Your Background
Preferred Qualification: 10+ years of experience in data engineering, data platforms, or analytics, with 5+ years in senior technical leadership roles
Minimum Qualification: Bachelor's Degree and 8 years of relevant experience, or Associate's Degree and 10 years of relevant experience, or High School Diploma or Equivalent and 12 years of relevant experience
Travel Expectations
Up to 15%
Expected Compensation
- $180,000-$230,000 base salary. Comprehensive bonus and LTI also offered.
EOE