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Principal Data Product Manager [Remote]

$200k - $250k
Full-time

jobgether

United States
  • Remote job

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

This role offers the opportunity to define how data becomes a strategic product capability that powers innovation, customer experiences, and business growth.
The Principal Data Product Manager will shape the vision, roadmap, and execution strategy for data-driven products, analytics, and AI-enabled solutions.
You will work at the intersection of product management, technology, analytics, and business strategy to unlock the value of complex datasets.
The position requires a strong product mindset, technical fluency, and the ability to translate data capabilities into meaningful customer outcomes.
You will collaborate with engineering, analytics, and business teams to create scalable data platforms and intelligent experiences.
This is a high-impact leadership role for a data-focused product expert who thrives in a fast-moving, innovative environment.

Accountabilities:

The Principal Data Product Manager will define and execute the strategy for data products, analytics capabilities, and AI-driven experiences. This role focuses on transforming data into scalable solutions that improve customer value, enable smarter decisions, and create competitive advantages.

  • Define the long-term product vision and strategy for data as a core platform capability.
  • Identify opportunities to improve customer experiences, products, and business outcomes through data-driven solutions.
  • Build and manage roadmaps across data products, analytics, recommendations, automation, and AI capabilities.
  • Establish scalable data capabilities that support multiple products and teams.
  • Improve data accessibility, governance, discoverability, and consistency through shared frameworks and business definitions.
  • Enable product teams to leverage trusted data assets instead of creating isolated solutions.
  • Identify opportunities for customer-facing analytics, recommendations, and data-powered experiences.
  • Define requirements for AI-enabled products, analytical tools, and workflow automation initiatives.
  • Translate emerging technologies and data capabilities into measurable customer and business value.
  • Partner with technical and business stakeholders to align priorities, investments, and execution plans.
  • Ensure data initiatives contribute directly to customer outcomes, product differentiation, and growth opportunities.

Requirements:

The ideal candidate brings extensive product management experience with a strong background in data-intensive platforms, analytics, AI-enabled products, or technology solutions. This professional should combine strategic thinking, technical understanding, and strong communication skills to drive complex initiatives across teams.

  • 10+ years of experience in Product Management, with significant experience building data, analytics, platform, or AI-powered products.
  • Proven track record defining, launching, and scaling products driven by data, machine learning, analytics, or recommendations.
  • Deep understanding of data collection, modeling, governance, measurement, and exposure within products and platforms.
  • Strong knowledge of data engineering, analytics, machine learning, and software development concepts.
  • Ability to translate complex technical capabilities into simple, valuable customer experiences.
  • Experience creating product strategies where data is a key competitive advantage.
  • Strong systems-thinking approach with the ability to identify reusable capabilities across products.
  • Comfortable operating in ambiguous environments and creating structure for emerging product areas.
  • Experience with data products, analytics platforms, recommendation systems, AI-powered experiences, or workflow automation.
  • Familiarity with modern data platforms, semantic layers, APIs, governance frameworks, data sharing, and AI/ML ecosystems.
  • Experience working within fintech, payments, or other data-rich and regulated industries is preferred.
  • Excellent communication, stakeholder management, and executive-level influence skills.

Benefits:

  • Competitive annual salary range of $200,000 – $250,000 USD, depending on experience, qualifications, skills, and location.
  • Equity and stock option opportunities.
  • Remote work flexibility.
  • Comprehensive medical, dental, and vision insurance with full employee coverage options.
  • Company-sponsored life and disability insurance.
  • 401(k) retirement plan.
  • Paid parental bonding leave and additional paid leave programs.
  • Flexible time off policy and paid company holidays.
  • Volunteer time off opportunities.
  • Monthly communication expense stipend.
  • Home office setup stipend and reimbursement for eligible equipment.
  • Professional growth opportunities within a fast-growing technology environment.
  • Supportive culture focused on collaboration, innovation, and employee development.

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.

Vacancy posted 7 days ago
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