Associate Director, Customer Master & Data Product Owner

Purpose

The Associate Director, Customer Master & Data Product Owner is accountable for the management and implementation of customer master and reference data management for Johnson & Johnson Innovative Medicine (JJIM) to improve and maintain timeliness and quality of the data. The role guides local and vendor resources to ensure continuous improvement of business results through implementation and management of standard master data management processes, tools, and business rules, and provides ongoing management and oversight for master and reference data in support of business needs.

Primary Responsibilities

Strategy & Design

• Lead the ongoing quality and application of JJIM data pipeline supporting the sales and marketing organization, ensuring high-quality data and appropriate use.
• Evaluate and drive data management processes, defining best practices and processes to support efficiencies within customer and vendor data management.
• Lead the solution, design and development to create a single source of truth via the MDM Customer and Account data product solutions.
• Identify and define strategies to integrate master data and data products with other operational systems.
• Implement master data management standards, enforce data governance procedures and ensure data integrity across multiple platforms.

Operations

• Lead and manage the team on MDM specific activities such as defining cleanse rules, survivorship, and match rules.
• Track team progress, identify risks and issues, and highlight value of projects to leadership.
• Ensure quality of master data in key systems and develop and document processes with other functional data owners.
• Oversee the resolution of data change requests (DCRs) from the JJIM organization.
• Identify root causes of data quality problems and identify sustainable solutions.

Data Product Owner

• Define vision, set goals, and shape the roadmap for the data product along with the value proposition and measurement.
• Identify new use cases and projects.
• Drive ongoing adoption and tracking.
• Facilitate requirements gathering with business data experts and IT.

Secondary Responsibilities

• Coordinate with cross-functional teams to help resolve operational issues.
• Collaborate with Information Technology (IT) teams to implement current plans and programs.
• Define and implement data strategy, policies, controls, and programs to ensure enterprise data is accurate, complete, secure, and reliable.

Qualifications

Education: BA/BS undergraduate degree or equivalent in Business, Technology, Analytics or Health Sciences is required. A master's degree or equivalent experience is an asset.

Required Experience and Skills

• Validated experience of 7+ years in roles related to data management, analytics, insights or other commercial excellence areas within the pharmaceutical or life sciences industry.
• Proficient in data sources/products and expertise in using pharma industry syndicated/secondary data from leading vendors: IQVIA, Veeva, Definitive Healthcare, American Hospital Association (AHA), American Medical Association (AMA), MedPro.
• Strong analytical toolkit including modern business intelligence tools and infrastructure for managing large data, plus proficiency with PowerPoint, Excel and Word.
• Proven results as a project manager in cross-functional technology projects.
• Strong analytical and problem-solving ability, and business and data analysis with focus on MDM operational processes across multiple therapeutic areas.
• Experience utilizing MDM tool sets such as Informatica, Reltio and appropriate use within an MDM solution.
• Strong written and verbal communication skills, including ability to simplify complex technical issues.
• Customer focus with building relationships, issue identification and resolution, problem-solving and project management skills.
• Detail-oriented and results-driven.
• Ability to apply policies and standards consistently.
• Vendor management (outsourced stewardship team).

Preferred

Demonstrated commitment to learning emerging technologies, such as AI, through exploration, iteration, and applying new tools over time.