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Enterprise Data Management Jobs (NOW HIRING)

Zing Health

Manager, Enterprise Data Management

IL · Remote

$130K - $140K/yr

Zing Health is seeking an experienced individual to join our team as a Technical Leader for Enterprise Data Management. In this critical role, the selected individual will lead a team overseeing SQL ...

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How much do enterprise data management jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for enterprise data management in the United States is $71.92, according to ZipRecruiter salary data. Most workers in this role earn between $62.50 and $82.45 per hour, depending on experience, location, and employer.

What is an Enterprise Data Management job?

An Enterprise Data Management (EDM) job focuses on organizing, governing, and optimizing an organization's data to ensure accuracy, security, and accessibility. Professionals in this role develop data policies, implement data quality standards, and manage data governance frameworks. They work closely with IT, business, and compliance teams to integrate data across various systems and improve decision-making. EDM roles are crucial for organizations that rely on data-driven strategies for efficiency and compliance.

What are the key skills and qualifications needed to thrive in the Enterprise Data Management position, and why are they important?

To thrive in Enterprise Data Management, you need a strong background in database management, data governance, analytics, and information architecture, often supported by a degree in computer science or information systems. Familiarity with tools like SQL, data warehousing solutions, master data management (MDM) platforms, and certifications such as CDMP (Certified Data Management Professional) are highly valued. Strong project management, problem-solving abilities, and effective communication help professionals collaborate across departments and drive data initiatives. These skills ensure data integrity, regulatory compliance, and the ability to turn data into actionable business insights.

What are the typical day-to-day responsibilities of someone working in Enterprise Data Management?

Professionals in Enterprise Data Management are responsible for developing and enforcing data standards, designing and maintaining data systems, and ensuring data quality and compliance across the organization. They often collaborate with business analysts, IT teams, and executive leadership to identify data needs, oversee large data migrations, and manage data governance frameworks. Daily tasks may include data integration, troubleshooting data issues, implementing security protocols, and preparing reports for stakeholders. This role frequently involves a mix of technical work, strategic planning, and cross-functional teamwork, making it both challenging and rewarding.

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What cities are hiring for Enterprise Data Management jobs? Cities with the most Enterprise Data Management job openings:
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Enterprise Data Management jobs near you
Infographic showing various Enterprise Data Management job openings in the United States as of June 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $149,587 per year, or $71.9 per hour.
Executive Director, Enterprise Data Management

Executive Director, Enterprise Data Management

Alkermes

Waltham, MA • On-site

Full-time

Posted 5 days ago

Job description

Job Description
The Executive Director, Enterprise Data Management is responsible for leading and expanding enterprise data management capabilities that support all functions-with an initial focus on R&D and Commercial. This role will drive the continued development and execution of the company's enterprise data strategy, strengthen data governance, oversee data acquisition and master data management (MDM), scale data operations, and accelerate the delivery of data solutions that meet key business needs and support AI / analytics / reporting solutions.
This role will lead several teams of data professionals, including an existing Commercial Data Management team, a new R&D Data Management team, and a new Enterprise Data Governance specialist. Depending on start date, this position will lead the hiring of new positions for R&D Data Management and Enterprise Data Governance. This role will work a weekly hybrid schedule in our Waltham office.
This role will report to the Vice President, Data, Analytics & Insights.
Responsibilities
  • Partner with leaders across R&D, Commercial, Enterprise AI, IT, Information Security, and Program Management to understand key business needs and existing data management capabilities. Deliver data solutions that enhance and augment existing capabilities to accelerate scientific, operational, and commercial decision-making and execution.
    • R&D data capabilities vary by sub-function. For example, Clinical has their own data management capabilities.
    • Commercial uses centralized capabilities provided by the existing Commercial Data Management team.
  • Continue the development of enterprise data management capabilities:
    • Data Strategy: Lead the continued development and execution of the enterprise data strategy, ensuring alignment with corporate, R&D, and Commercial goals. Define multi-year roadmaps and investment priorities.
    • Data Governance: Establish policies, standard operating procedures, stewardship models, standards, and decision rights across functions and platforms. Partner with Legal and IT to ensure record retention policies are clear and actionable.
    • Data Acquisition: Optimize sourcing, licensing, and integration of internal and external datasets across R&D and Commercial. Evaluate security and privacy risks in data acquisition and licensing, including vendor due diligence, data handling controls, and contract requirements.
    • MDM: Define and maintain enterprise product, study, asset, HCP/HCO, and other foundational data domains.
    • Data Operations & Optimization: Ensure data pipeline reliability, data quality, harmonization, and operational efficiency.
    • AI & Analytics Enablement: Partner with Enterprise AI and functional analytics teams to ensure AI solutions are supported by trusted, well-governed data. Use AI to enhance data management capabilities.
  • Serve as the primary enterprise representative for data governance initiatives and drive alignment on data standards, quality, and access models.
  • Promote a culture where data quality, security, and responsible use are consistently reinforced.
  • Partner with IT to ensure data platforms, models, ontologies, and metadata solutions support enterprise needs.
  • Partner with Information Security to ensure data platforms and pipelines follow secure architecture patterns, access controls, and regulatory requirements.
  • Partner with Strategic Sourcing, Legal, Finance, IT, and external vendors to secure data assets, negotiate contracts, and manage vendor performance.
  • Champion a culture of data excellence, trust, and innovation across the organization.

Qualifications
Basic Qualifications, Education and Experience
  • Advanced degree in data management, information systems, data science, analytics, or related discipline.
  • Proven experience leading enterprise data management and data strategy functions within the pharmaceutical or biotechnology industry; R&D data management experience required; Commercial data management experience preferred.
  • Minimum of 10 years of experience in the pharma/biotech industry and at least 7 years in a senior data leadership role.
  • Experience overseeing data governance, data acquisition, MDM, and operational data management capabilities across multiple functions.
  • Proven experience with R&D and Commercial data assets, including scientific, clinical, operational, real-world, and master data.
  • Demonstrated experience hiring, developing, and leading high-performing multidisciplinary data teams.

Preferred Qualifications/Abilities
  • Ability to build strong, collaborative partnerships with senior leaders across R&D, Commercial, IT, Information Security, and Enterprise AI.
  • Ability to translate scientific and business requirements into actionable data strategies and scalable enterprise solutions.
  • Ability to lead and influence cross-functional teams and drive alignment across diverse stakeholder groups.
  • Ability to lead change management initiatives, including guiding teams and stakeholders through new processes, technologies, and operating models.
  • Strong focus on process improvement and the development of sustainable, predictable, and compliant data operations.
  • Strong project leadership, organization, and planning skills.
  • Excellent written and verbal communication skills.
  • Ability to manage vendor performance and communicate requirements effectively.

The annual base salary for this position ranges from $270,000 to $325,000. In addition, this position is eligible for an annual performance pay bonus. Exact compensation may vary based on skills, training, knowledge, and experience. Alkermes offers a competitive benefits package. Additional details can be found on our careers website: www.alkermes.com/careers#working-here
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About Us
Why join Team Alkermes?
Alkermes applies its decades of deep neuroscience expertise to develop medicines designed to help people living with complex and difficult-to-treat psychiatric and neurological disorders. A global biopharmaceutical company, headquartered in Ireland with U.S. locations in Massachusetts and Ohio, we seek to make a meaningful difference in the way people manage their diseases. We have a portfolio of proprietary commercial products for the treatment of alcohol dependence, opioid dependence, schizophrenia, bipolar I disorder and narcolepsy, and a pipeline of clinical and preclinical candidates in development for various psychiatric and neurological disorders.
We are proud to have been recognized as an employer of choice by many national organizations. In 2024 and 2025, we were certified as a Great Place to Work in the U.S. and named one of Massachusetts' Top Places to Work by the Boston Globe, a Best Place to Work in Greater Cincinnati by the Cincinnati Business Courier and recognized as a Best Place to Work in BioPharma by Fortune Magazine.
Alkermes, Inc. is an equal employment opportunity employer and does not discriminate against any qualified applicant or employee because of race, creed, color, age, national origin, ancestry, religion, gender, sexual orientation, gender expression and identity, disability, genetic information, veteran status, military status, application for military service or any other characteristic protected by local, state or federal law. Alkermes also complies with all work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Alkermes is an E-Verify employer.

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