Data Excellence Manager

Bayer•Hanover Township, NJ

2d•$128,000 - $192,000

About The Position

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where 'Health for all Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice. Data Excellence Manager YOUR TASKS AND RESPONSIBILITIES Goal of the role: You define and drive the Pharma Supply Chain data strategy to turn data into measurable business value. This role partners across Supply Chain, planning, logistics, customer as well as product, engineering, analytics, compliance, to prioritize data investments, champion data governance and operating models, and accelerate data-driven decision-making. The ideal candidate combines strategic vision, technical fluency, data product-thinking, and strong stakeholder influence. The primary responsibilities of this role, Data Excellence Manager are to: Be a strategic thought leader and sparring partner with the Head of Data Excellence for Pharma Supply Chain; Develop and communicate a multi-year data strategy that aligns with Pharma Supply Chain objectives and delivers measurable business outcomes (revenue growth, cost savings, improved customer experience); Create and maintain a prioritized data product roadmap (data foundations, analytics, ML/AI use cases, data sharing) with clear business owners and success metrics; Partner with Data Reliability Manager refine and implement a standardized data governance framework across SCM (data quality, lineage, metadata, ownership, rules, roles, processes, technologies and compliance) that is embedded it in operating processes; Champion data product management: define value propositions, KPIs, adoption plans, and launch/go-to-market for internal data products (data catalog, customer 360, feature store, reporting suites); Lead cross-functional programs to operationalize data strategy (platform migrations, data mesh initiatives, analytics enablement); Advise executive leadership on data-related risks, opportunities, technology choices, and vendor strategy; evaluate and prioritize investments; Strongly collaborate with cross-disciplinary team members (data product owners, data stewards, strategy analysts), and coordinate with engineering, analytics, and security teams; Establish measurement and reporting for data strategy progress (ROI, adoption, data quality improvements, time-to-insight); Partner and champion to drive data literacy and change management across the organization: training, playbooks, and governance rituals; Outcomes / success metrics Collaborate with Data Analytics manager and Data Reliability manager to endure the following: Measurable improvement in data quality and lineage (e.g., reduced critical data incidents by X%); Increased usage and adoption of core data products (active users, queries, downstream dependencies); Reduction in time-to-insight for key business questions; Compliance readiness and reduced regulatory risk for data-related controls; Documented cost/benefit of major data investments and clear ROI on prioritized initiatives. WHO YOU ARE Bayer seeks an incumbent who possesses the following: Required Qualifications: Proven experience building and executing enterprise-level data strategies and roadmaps; Strong cross-functional leadership and stakeholder management with senior executives; Broad technical fluency across data engineering, analytics, BI, ML/AI, cloud platforms (AWS/GCP/Azure); Familiarity with data governance, metadata management, data catalogs, and privacy/compliance frameworks (DAMA, GDPR, CCPA, GxP where relevant); Excellent written and verbal communication; able to translate technical trade-offs into business impact. Preferred Qualifications: Experience with data mesh, domain-oriented data architectures, or implementing decentralized data governance; Bachelor’s degree with 7+ years of experience in data strategy, analytics strategy, data product management or related roles, preferably within the pharmaceutical industry; 3+ years in a leadership role. Master’s degree preferred; Hands-on background in analytics, data engineering, or machine learning programs; Employees can expect to be paid a salary between $128,000 to $192,000. Additional compensation may include a bonus or commission (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.. This salary range is merely an estimate and may vary based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors. This posting will be available for application until at least 3/17/2026. YOUR APPLICATION Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Health for all, Hunger for none, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer. To all recruitment agencies: Bayer does not accept unsolicited third party resumes. Bayer is an Equal Opportunity Employer/Disabled/Veterans Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. Equal Opportunity Employer Statement: Notice for U.S. Visitors: All information on this site is subject to compliance with local rule and regulations as they may vary from time to time and across different geographies, including, without limitation, U.S. Executive Orders. Bayer is an E-Verify Employer. Location: United States : New Jersey : Whippany Division: Pharmaceuticals Reference Code: 862338 Contact Us Email: [email protected] Read More

Requirements

Proven experience building and executing enterprise-level data strategies and roadmaps
Strong cross-functional leadership and stakeholder management with senior executives
Broad technical fluency across data engineering, analytics, BI, ML/AI, cloud platforms (AWS/GCP/Azure)
Familiarity with data governance, metadata management, data catalogs, and privacy/compliance frameworks (DAMA, GDPR, CCPA, GxP where relevant)
Excellent written and verbal communication; able to translate technical trade-offs into business impact.

Nice To Haves

Experience with data mesh, domain-oriented data architectures, or implementing decentralized data governance
Bachelor’s degree with 7+ years of experience in data strategy, analytics strategy, data product management or related roles, preferably within the pharmaceutical industry; 3+ years in a leadership role. Master’s degree preferred
Hands-on background in analytics, data engineering, or machine learning programs

Responsibilities

Be a strategic thought leader and sparring partner with the Head of Data Excellence for Pharma Supply Chain
Develop and communicate a multi-year data strategy that aligns with Pharma Supply Chain objectives and delivers measurable business outcomes (revenue growth, cost savings, improved customer experience)
Create and maintain a prioritized data product roadmap (data foundations, analytics, ML/AI use cases, data sharing) with clear business owners and success metrics
Partner with Data Reliability Manager refine and implement a standardized data governance framework across SCM (data quality, lineage, metadata, ownership, rules, roles, processes, technologies and compliance) that is embedded it in operating processes
Champion data product management: define value propositions, KPIs, adoption plans, and launch/go-to-market for internal data products (data catalog, customer 360, feature store, reporting suites)
Lead cross-functional programs to operationalize data strategy (platform migrations, data mesh initiatives, analytics enablement)
Advise executive leadership on data-related risks, opportunities, technology choices, and vendor strategy; evaluate and prioritize investments
Strongly collaborate with cross-disciplinary team members (data product owners, data stewards, strategy analysts), and coordinate with engineering, analytics, and security teams
Establish measurement and reporting for data strategy progress (ROI, adoption, data quality improvements, time-to-insight)
Partner and champion to drive data literacy and change management across the organization: training, playbooks, and governance rituals
Collaborate with Data Analytics manager and Data Reliability manager to endure the following: Measurable improvement in data quality and lineage (e.g., reduced critical data incidents by X%)
Increased usage and adoption of core data products (active users, queries, downstream dependencies)
Reduction in time-to-insight for key business questions
Compliance readiness and reduced regulatory risk for data-related controls
Documented cost/benefit of major data investments and clear ROI on prioritized initiatives.