Principal Technical Product Manager, Data Platform [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Technical Product Manager, Data Platform based in the United States.

This is a senior product leadership opportunity focused on building the foundational data platform behind advanced AI-driven scientific discovery.
The role owns the strategy, roadmap, and execution of data capabilities that support complex research applications across life sciences, materials science, and other innovation-driven industries.
You will define how data is collected, governed, integrated, tracked, and transformed into trusted inputs for powerful AI models.
Working at the intersection of product, engineering, science, and compliance, you will solve highly technical challenges through thoughtful product design and cross-functional influence.
This role requires strong ownership, customer focus, and the ability to turn complex data problems into scalable solutions.
You will help shape a next-generation platform that accelerates discoveries with real-world impact while collaborating with talented experts across multiple disciplines

Accountabilities:

As a Principal Technical Product Manager, you will lead the development and evolution of a data platform that enables secure, reliable, and scalable scientific workflows. You will drive product strategy while partnering with technical and business teams to deliver solutions that improve data accessibility, governance, and usability.

• Define and own the data platform roadmap, including data ingestion, automated detection, schema reconciliation, and lineage capabilities.
• Lead the development of ingestion workflows and templates that allow external research partners and internal teams to efficiently integrate high-quality data.
• Design product experiences for automated data matching, reconciliation, and validation to ensure datasets are ready for downstream AI and scientific applications.
• Establish approaches for dataset provenance, sensitivity classification, access controls, and field-of-use governance.
• Partner with engineering, scientific teams, and stakeholders to define experiment integration APIs and scalable data management solutions.
• Build and manage federated data-sharing capabilities that enable secure collaboration while protecting intellectual property.
• Define success metrics such as dataset usability timelines, matching accuracy, governance adoption, and lineage completeness.
• Translate complex technical and scientific challenges into clear product priorities, measurable outcomes, and actionable roadmaps.
• Drive alignment across engineering, science, design, compliance, and customer-facing teams through strong communication and product leadership.

Requirements:

The ideal candidate brings deep product management experience combined with strong technical expertise in data platforms, governance, and developer-focused solutions. You should be comfortable navigating ambiguity, influencing cross-functional teams, and building products that solve complex enterprise challenges.

• 5+ years of product management experience, with significant experience working on data platforms, data infrastructure, or data governance products.
• Strong understanding of ETL/ELT pipelines, data catalogs, metadata management, and data lineage or provenance tracking.
• Experience designing developer-facing APIs, ingestion frameworks, or technical tooling.
• Proven ability to define and implement data governance strategies, including access controls, sensitivity classification, and usage restrictions.
• Ability to transform complex, cross-functional data challenges into scalable and measurable product solutions.
• Strong technical judgment and ability to collaborate effectively with engineering teams on architecture and implementation decisions.
• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
• Excellent communication skills with the ability to influence technical and non-technical stakeholders.

Preferred qualifications include:

• Experience working with scientific data formats such as HDF5, SDF, CSV, or JSON-LD.
• Knowledge of federated learning concepts and intellectual property considerations in research environments.
• Familiarity with regulated data environments and compliance frameworks such as HIPAA, FedRAMP, GDPR, SOC 2, GxP, or 21 CFR Part 11.
• Experience supporting audit processes, evidence export workflows, or compliance reporting.
• Understanding of drug discovery, materials research, or scientific data lifecycle processes.
• MBA or equivalent business experience.

Benefits:

• Competitive base salary with performance-based incentives or bonuses where applicable.
• Equity participation opportunities.
• Comprehensive medical, dental, and vision coverage with employer contributions.
• Retirement savings plan with company matching.
• Paid parental leave and inclusive family-building benefits.
• Fully remote work environment with flexible work arrangements.
• Flexible paid time off and company-wide seasonal breaks.
• Opportunities for continuous learning, professional growth, and cross-functional collaboration.
• The opportunity to contribute to impactful technology advancing scientific discovery, healthcare innovation, and sustainable solutions.

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.

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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.