# Ladders — Head of Data Strategy

- Generated: 2026-09-21 08:02:50 AM EDT
- Original/canonical posting: https://www.linkedin.com/jobs/view/4467369928/
- Provider: LinkedIn
- Posted: approximately 2026-09-21 07:02 AM EDT (from '1 hour ago')
- Elapsed since posting: represented by the provider's relative posting label and approximate Eastern timestamp when available
- Applicants: Be among the first 25 applicants
- Work model/location: Remote — United States; end employer is unidentified
- Compensation: $236,000-$324,500 annually
- Travel: Not disclosed
- Positioning track: Executive leader
- Fit outcome: BORDERLINE — 78%

## Direct-match strengths

Enterprise data strategy, governance, architecture, platform integration, data quality, AI readiness, advanced analytics, actionable data products, vendor management, cross-functional leadership, data fluency, pharmaceutical/life-sciences technology, and measurable business outcomes.

## Hard or material gaps

Material function gap: the central mandate is commercialization data strategy and commercialization decision support. Keith has direct pharmaceutical research, bioinformatics, commercial scientific software, enterprise data, analytics, and AI experience, but not a dedicated biopharma commercial-data leadership career. End employer identity is also unverified.

## Evidence map

1. Commercialization data strategy (weight 3, evidence 1/3) — Life-sciences and enterprise-data experience is direct; dedicated commercialization ownership is not.
2. Acquire, manage, and govern data assets (weight 3, evidence 3/3) — Direct enterprise data platform, quality, access, and governance leadership.
3. Data architecture and platform integration (weight 3, evidence 3/3) — Direct AWS, data lake, pipelines, APIs, and platform architecture.
4. Global cross-functional standards (weight 2, evidence 3/3) — Direct global communities and cross-functional governance.
5. Actionable data products for decisions (weight 3, evidence 3/3) — Direct analytics/data products with measurable reporting outcomes.
6. Vendors and data quality (weight 2, evidence 3/3) — Direct vendor decisions, quality standards, and operating controls.
7. Data fluency and accessibility (weight 2, evidence 3/3) — Direct enablement assets, communities, training, and self-service data.
8. AI readiness and advanced analytics (weight 2, evidence 3/3) — Direct ML/AI platforms and analytics.
9. Pharmaceutical and biotech context (weight 2, evidence 2/3) — Direct research, bioinformatics, and commercial scientific software; commercial operations depth is limited.
10. Verified end employer (weight 1, evidence 0/3) — Unidentified; retained as a caveat.

## Keyword diagnostic

Strong data-platform, governance, AI-readiness, life-sciences, and product evidence; dedicated pharmaceutical commercialization-data ownership remains the material caveat.

## Full normalized job description

For our client, we are seeking a Head of Data Strategy to join the team of a leader in the Pharmaceuticals & Biotech space.
In this senior leadership role, you will shape the enterprise approach to data strategy with a strong focus on commercialization outcomes and decision-making. You will partner closely with global and cross-functional teams to strengthen data governance, improve data accessibility, and align data architecture and platform priorities. The role also calls for driving AI readiness, building actionable data products, and enabling a more data-fluent organization.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $236,000 – $324,500 annually
Responsibilities
Lead the development and execution of commercialization data strategy
Drive the acquisition, management, and governance of data assets
Define data architecture and platform integration priorities
Support global teams in aligning data approaches and standards
Create actionable data products to enhance commercialization decision-making
Manage vendor relationships and ensure data quality standards are met
Facilitate a culture of data fluency and ensure accessibility for teams
Qualifications
5+ years of experience in data strategy, analytics, or a related role
Strong knowledge of data governance and management best practices
Proven ability to collaborate across multidisciplinary teams
Experience with AI readiness and advanced analytics
Excellent communication skills to translate technical data needs into business terms
Track record of building data products that drive business outcomes
Benefits
Opportunity to shape strategic direction in a key leadership role
Collaborative work environment with cross-functional teams
Focus on advanced technologies and AI integrations
Access to professional development and training programs
Influence on critical business outcomes that improve patient access
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.

## Artifact metadata

- Resume: https://bit.ly/4doOj1m
- Cover letter: https://bit.ly/4yJf2xN
- Validation: PASS — 2-page resume (935 words), 1-page cover letter (210 words); PDF geometry, bounds, annotations, links, and visual pages verified.
- Google Drive used: No