Manager Data Platform

Johnson & Johnson MedTech; Ringaskiddy; Hybrid; EUR 91,000 - 158,000; Full time

Benefits offered by this job

Vacation 120h per year

Sick time 40h per year (USA)

Holiday pay 13 days per year

Parental Leave 480h per year

Bereavement Leave 240h per year

Volunteer Leave 32h per year

Military Spouse Time-Off 80h per year

Job summary

Johnson & Johnson MedTech is seeking a Data Platform Manager to own the strategy and roadmap for a modern data platform enabling trusted data products, analytics, and AI across Orthopedics. Lead the Data Foundation initiative to overhaul the data ecosystem and establish a scalable lakehouse using Databricks and cloud services.

You will provide technical leadership, manage internal engineers and partners, and ensure production readiness while aligning with future-state platforms.

Qualifications

• Bachelor’s degree required; related fields preferred.
• Minimum 6 years of relevant professional work experience.
• Experience leading design/implementation of a data platform or lakehouse.
• Strong hands-on experience with Databricks, PySpark, Spark SQL, Python, SQL, Delta Lake.
• Experience with cloud services (Azure and/or AWS).
• Ability to communicate platform concepts to technical and business stakeholders.

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.

Skills

Advanced Analytics

Agility Jumps

Compliance Management

Data Engineering

Data Governance

Data Modeling

Data Privacy Standards

Data Science

Developing Others

Leadership

Team Management

Technical Development

Hybrid Clouds

Inclusive Leadership

Education

Bachelor’s degree in Computer Science, Engineering, Applied Mathematics, Information Systems or related field

Tools

Databricks

PySpark

Spark SQL

Python

SQL

Delta Lake

Azure

AWS

dbt

Apache Airflow

Azure Data Factory

AWS Glue

Job description

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, documentation expectations, architecture reviews, and production-readiness practices for distributed data teams.
• Experience implementing data observability across pipelines and products, including monitoring, lineage, reliability, alerting, and service‑level management.
• Experience leading distributed teams and governing external vendors or managed‑service partners against architecture standards, quality expectations, achievements, and business outcomes.
• Ability to communicate sophisticated platform concepts to technical and business collaborators and influence decisions in a matrixed organization.

Preferred

• Experience with Fivetran or similar managed data integration and change‑data‑capture platforms.
• Experience building a data platform that supports federated business teams, self‑service analytics, certified data products, and AI‑ready consumption patterns.
• Familiarity with end‑to‑end supply chain domains such as planning, manufacturing, procurement, quality, and distribution within MedTech or another regulated industry.
• Knowledge of enterprise systems of record such as ERP, MES, PLM, and planning platforms, including experience modernizing fragmented or legacy data environments.
• Experience integrating a data platform with Power BI, semantic models, data marketplaces or catalogs, and AI/ML platforms.
• High‑level understanding of web and digital application architecture, APIs, integration patterns, and vendor‑led application delivery.
• Experience using AI‑assisted engineering tools such as GitHub Copilot, Cursor, Claude Code, or similar tools to accelerate development, automate repetitive work, and improve engineering quality.
• Experience supporting Agile product teams, mentoring engineers, and building reusable platform capabilities embraced across multiple business functions.

Other

• This is a hybrid position. The selected candidate will be required to work onsite 1 to 3 days per week and may be required to travel up to 20% domestically and internationally.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers, internal employees contact AskGS to be directed to your accommodation resource.

Required Skills

Preferred Skills:

Advanced Analytics, Agility Jumps, Compliance Management, Data Engineering, Data Governance, Data Modeling, Data Privacy Standards, Data Science, Developing Others, Emerging Technologies, Execution Focus, Hybrid Clouds, Inclusive Leadership, Leadership, Resource Allocation, Team Management, Technical Development, Technologically Savvy

The anticipated base pay range for this position is :

$102,000.00 - $177,100.00

Additional Description For Pay Transparency

Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).

This position is eligible to participate in the Company’s long-term incentive program.

Benefits

• Vacation –120 hours per calendar year
• Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
• Holiday pay, including Floating Holidays –13 days per calendar year
• Work, Personal and Family Time - up to 40 hours per calendar year
• Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
• Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
• Caregiver Leave – 80 hours in a 52-week rolling period10 days
• Volunteer Leave – 32 hours per calendar year
• Military Spouse Time-Off – 80 hours per calendar year

For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits