Manager - Applications & Master Data, Business Systems

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

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Job Function:

R&D Product Development

Job Sub Function:

Multi-Family R&D Product Development

Job Category:

People Leader

All Job Posting Locations:

Raynham, Massachusetts, United States of America

Job Description:

We are searching for the best talent for a Manager - Applications & Master Data, Business Systems to join our Orthopaedics team located in Raynham, MA (with up to 20% domestic and international travel expected).

Purpose:

We are seeking an experienced applications and product leader to own the strategy, governance, delivery, adoption, and lifecycle management of non-GxP business systems and analytics capabilities across DePuy Synthes R&D. This role will establish a harmonized technology roadmap and coordinated execution model across the global R&D organization.

You will lead the business systems ecosystem, including portfolio and project management applications, dashboards, scorecards, analytics and reporting solutions, user interfaces, and related master data. You will manage Business Owners and business analysts, translate business needs into prioritized requirements and backlogs, and partner with IT and vendors for technical delivery.

This role provides the opportunity to simplify the R&D application landscape, improve data quality and decision support, expand the effective use of Power BI and other business platforms, and deliver measurable value through standardized solutions, common ways of working, and disciplined application lifecycle management.

You will be responsible for:

Lead Business Systems Strategy and Governance

- Define, communicate, and execute the product vision, governance model, multi-year roadmap, technology stack, and capital investment strategy for R&D business systems and analytics.

- Own product-side governance and budget for non-GxP R&D applications and data platforms where R&D is the primary business owner, including project portfolio management, dashboards, scorecards, and related business solutions.

- Align application roadmaps with the R&D pipeline, business priorities, budget, and IT strategy while considering downstream impacts to Quality, Manufacturing, Supply Chain, and Post-Market systems.

- Drive application rationalization, platform harmonization, and common ways of working to reduce tool fragmentation, support complexity, and total cost.

Own the Application and Data Lifecycle

- Own the end-to-end lifecycle of assigned R&D applications and master data domains, from intake, evaluation, selection, and design through deployment, sustainment, value realization, and retirement.

- Provide product ownership for business systems, including configuration decisions, release prioritization, roadmap alignment, user experience, adoption, and value realization.

- Gather, define, and prioritize business requirements; translate needs into technical requirements, user stories, acceptance criteria, and prioritized backlogs.

- Partner with Technical Product Owners, IT, vendors, and internal engineering teams to coordinate resources and deliver scalable, secure, compliant, and sustainable solutions.

- Serve as the primary R&D technology contact and business escalation point for assigned business applications, including configuration, connectivity, account access, non-GxP data management, and effective use of tools.

Advance Analytics and Master Data

- Lead business ownership and analytics support for Power BI reporting, dashboards, scorecards, user interfaces, and other decision-support capabilities.

- Drive master data strategy and lifecycle management for critical R&D data domains, including definitions, governance, stewardship, quality, and standards.

- Establish and oversee data quality practices, including profiling, validation rules, issue remediation workflows, and root cause analysis for recurring defects.

- Support harmonized data models, definitions, and reference data standards across R&D systems.

- Partner with IT and enterprise architecture teams to define and govern integrations and data flows, including appropriate data lineage, traceability, and downstream impact considerations.

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