Manager Data Platform

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function

Data Analytics & Computational Sciences

Job Sub Function

Data Engineering

Job Category

People Leader

All Job Posting Locations:

Mooresville, Indiana, United States of America, New Brunswick, New Jersey, United States of America, Palm Beach Gardens, Florida, United States of America, Raritan, New Jersey, United States of America, Raynham, Massachusetts, United States of America, Ringaskiddy, Cork, Ireland, Warsaw, Indiana, United States of America, West Chester, Pennsylvania, United States of America

Job Description

DePuy Synthes is recruiting for a Data Platform Manager located in Raynham, Massachusetts; New Brunswick, New Jersey; Palm Beach Gardens, Florida; Indianapolis, Indiana; Warsaw, Indiana; Cork, Ireland

Please note that this role may be available across multiple countries and may be posted under different requisition numbers to align with local requirements. Candidates should apply to the posting aligned with their preferred location.

Ireland: R-105879

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow and profoundly impact health for humanity. Learn more at https://www.jnj.com/.

Johnson & Johnson announced plans to separate our Orthopedics business to establish a standalone orthopedics company, operating as DePuy Synthes. The planned separation is subject to legal requirements, regulatory approvals, and other customary conditions and approvals.

Should you accept this position, it is anticipated that, following conclusion of the transaction, you would be an employee of DePuy Synthes and your employment would be governed by DePuy Synthes employment processes, programs, policies, and benefit plans. Details of any planned changes would be provided at an appropriate time and subject to any vital consultation processes.

What's in it for you?

As a Data Platform Manager, you will own the strategy, architecture, engineering standards, and roadmap for the modern data platform that enables trusted data products, digital applications, analytics, and AI across Orthopedics. You will lead the Data Foundation initiative to overhaul the current data ecosystem and establish a scalable lakehouse using Databricks, cloud services, and medallion architecture.

You will create reusable ingestion, transformation, testing, governance, and observability capabilities that allow teams to onboard data and deliver business-ready products consistently and efficiently. You will also provide technical leadership for business separation activities, ensuring platform continuity and alignment with future-state interpersonal needs.

This role combines strategic platform ownership with hands-on technical leadership, people and vendor management, and multi-functional partnership. If you are energized by building reusable platform capabilities and turning strategy into measurable business outcomes, this is an opportunity to make a substantial impact.

Key Responsibilities

Own and implement the Data Platform and Data Foundation strategy, target architecture, roadmap, engineering standards, and measurable outcomes.

Lead the design and evolution of a scalable Databricks lakehouse using medallion architecture, reusable data products, and cloud-native services.

Design, build, and scale reusable, metadata-driven data ingestion and data pipeline frameworks, including batch and streaming patterns, source onboarding, transformation, orchestration, schema evolution, auditability, and embedded data-quality controls.

Establish platform engineering standards for data modeling, code quality, automated testing, CI/CD, documentation, security, performance, cost efficiency, and production readiness.

Design and implement the data engineering governance framework in partnership with Data Governance, embedding ownership, business definitions, policy controls, architecture reviews, data quality, certification, lineage, and traceability into engineering workflows and data products.

Implement end-to-end data observability and operational governance, including monitoring, reliability, service-level expectations, incident prevention, and lifecycle management.

Enable analytics and AI teams with governed, reusable, and AI-ready data while maintaining alignment with the Enterprise AI Platform and business digital-product teams.

Provide technical governance and architectural oversight for business separation and transition activities, protecting continuity while enabling independent future-state platforms.

Translate sophisticated business and digital-product needs into platform capabilities, manageable work packages, delivery roadmaps, and outcome-based execution plans.

Lead internal engineers and delivery partners; set technical direction, review solution quality, dependencies and risks, and build sustainable internal capability.

Qualifications

Education: A minimum of a Bachelor’s degree and/or equivalent University degree is required; a focused degree in Computer Science, Engineering, Applied Mathematics, Information Systems or a related field is preferred. Masters degree preferred

Required

Experience and Skills:

Minimum of six (6) years of relevant professional work experience

Multifaceted experience in data engineering or data platforms, including in technical leadership, people management, or platform ownership roles.

Validated experience in leading the design, implementation, or modernization of a data platform or lakehouse and converting strategy into an executable roadmap.

Strong hands-on expertise with Databricks, PySpark, Spark SQL, Python, SQL, Delta Lake, and cloud data services, with Azure and/or AWS experience.

Demonstrated experience designing reusable ingestion and data pipeline frameworks, including orchestration and integration with dbt, Apache Airflow, Azure Data Factory, AWS Glue, or comparable tools.

Strong knowledge of data architecture and modeling, including dimensional modeling, star and snowflake schemas.

Experience defining and implementing automated testing strategies for data engineering code and pipelines, including unit, integration, regression, reconciliation, data-quality testing, and CI/CD integration.

Experience establishing engineering governance, coding standards, release controls, documentatio