Dir, Innovative Enterprise Data Product Lead [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Dir, Innovative Enterprise Data Product Lead based in United States.

The Director, Innovative Enterprise Data Product Lead will shape the strategy and evolution of enterprise data foundations that enable trusted, reusable, and AI-ready data products.
The role owns key capabilities spanning reference data, master data, metadata, data standards, stewardship, and business definitions.
You will define product vision, roadmaps, priorities, adoption strategies, and value measures that improve data trust, consistency, discoverability, and interoperability across the enterprise.
A key focus will be transforming foundational data assets into innovative products enriched with business meaning, semantic definitions, rules, metrics, lineage, metadata, and context.
Working across business, analytics, technology, governance, and data enablement teams, you will translate strategic priorities into scalable and reliable capabilities.
The role offers significant influence in a complex, matrixed environment where strong product leadership and stakeholder management are essential to driving adoption and measurable business value.
This is an opportunity to build foundational capabilities that accelerate analytics, enable AI-driven solutions, and establish stronger enterprise-wide data practices.

Accountabilities:

• Own the product strategy, roadmap, prioritization, and lifecycle management for enterprise reference data, master data, metadata, and data standards.
• Define innovative data products that incorporate business meaning, semantic definitions, reusable measures, standards, metadata, lineage, and clear consumption patterns.
• Partner closely with data enablement teams to translate product strategy into executable delivery plans, align priorities, remove operational barriers, and ensure scalable and reliable enterprise capabilities.
• Collaborate with business, analytics, technology, governance, operations, and data product teams to identify high-value capabilities, prioritize investments, and reduce duplication across the organization.
• Drive product adoption through stakeholder engagement, clear consumption models, communication strategies, and continuous enhancement based on user needs and feedback.
• Establish product standards, governance routines, intake processes, service expectations, and value measures that support reliability, reuse, compliance, scalability, and measurable business impact.
• Define and maintain product requirements around data quality, metadata coverage, lineage, standards adoption, stewardship, and semantic consistency.
• Translate complex business and data requirements into clear product priorities and actionable roadmaps.
• Monitor product performance, adoption, risks, dependencies, and business outcomes, using insights to guide prioritization and continuous improvement.
• Influence senior stakeholders and cross-functional teams to align enterprise data investments with broader strategic and business objectives.

Requirements

• Bachelor’s degree in a related field required; a Master of Science and/or MBA is strongly preferred.
• 10+ years of experience in pharmaceuticals, healthcare, technology, data, analytics, consulting, or a related environment, with significant experience in data products, data strategy, product management, or analytics enablement.
• 5+ years of specialized experience in reference data, master data, metadata management, data standards, data governance, stewardship, semantic models, product management, or AI-ready data foundations.
• Demonstrated ability to define product vision, roadmaps, prioritization frameworks, use cases, adoption strategies, value measures, and governance routines within complex matrixed organizations.
• Strong understanding of semantic data products, business definitions, data quality, metadata, lineage, standards, stewardship, and AI-ready data consumption patterns.
• Proven experience partnering with data enablement, platform, technology, analytics, business, governance, and operations teams to execute strategy and scale enterprise data products.
• Strong ability to connect technical data concepts with business and domain requirements, ensuring solutions are practical, scalable, and aligned with enterprise priorities.
• Excellent communication and presentation skills, with the ability to explain complex data concepts clearly to senior leaders and diverse cross-functional stakeholders.
• Strong product management, stakeholder engagement, influencing, and strategic decision-making capabilities.
• Ability to operate effectively in a fast-paced, ambiguous environment, adapt to changing priorities, and maintain focus on measurable outcomes.
• Demonstrated leadership mindset with the ability to build alignment, encourage adoption, and drive continuous improvement across multiple teams.

Benefits

• Annual salary range of $185,500–$344,500 , with final compensation determined by relevant skills, experience, and other applicable factors.
• Performance-based cash incentive.
• Potential eligibility for annual equity awards, depending on role level and applicable programs.
• Remote work opportunity anywhere in the United States, subject to applicable legal-entity restrictions.
• Comprehensive health benefits, including health, life, and disability coverage.
• 401(k) plan with company contribution and matching.
• Generous paid time off package, including vacation, personal days, holidays, and other eligible leaves.
• Approximately 20% travel required.
• Opportunity to lead strategic enterprise data initiatives with significant visibility across business, technology, analytics, and governance functions.
• Collaborative and inclusive environment focused on innovation, professional development, and measurable business impact.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.