
Senior Data Strategist
1 day ago
As a senior data product manager, you will lead the strategy and execution of data products that power digital intelligence. This role is at the core of our innovation engine, serving multiple business units and platform products across the company.
This opportunity offers a unique chance to lead high-scale, high-impact data products by collaborating with R&D, product, and business stakeholders to architect modular, trusted, and intelligent data systems.
We are looking for a true data enthusiast: someone passionate about translating business needs into data solutions, building strong relationships, shaping methodologies and processes, and owning complex data initiatives from end to end.
This role will report to the VP of Product Management.
Key Responsibilities- Own the vision, roadmap, and delivery of critical datasets that underpin platform functionality, decisioning systems, and customer-facing features.
- Lead modularization of data structures to enable scalability, easier ownership distribution, and data quality improvements.
- Introduce metrics for quality (completeness, coverage, freshness, accuracy) and define validation, logging, and governance frameworks.
- Serve as the product voice for data across R&D, aligning platform engineers, analysts, scientists, and business teams around a common strategy.
- Bridge between domain-specific product teams and platform data infrastructure, translating business needs into scalable, reusable data assets.
- Define data SLAs, fallback mechanisms, enrichment strategies, and quality assurance mechanisms in partnership with data consumers.
- Prioritize and plan data initiatives that support new verticals, geographies, product features, and business models.
- Spearhead productization of internal datasets into revenue-generating assets for both direct sales and platform distribution.
- Deeply understand the customer's evolving needs and enable the data to capture them accurately and scalably.
- 4+ years of experience in data product management, or as a technical product manager or solutions architect in a big data environment.
- Proven track record in leading cross-functional data initiatives involving data engineering, data science, and analytics teams.
- Experience delivering data products for both revenue-generating direct sales use cases and scalable platform integration.
- Hands-on experience with large-scale data collection, classification, curation, and delivery systems, especially in companies that build or sell data products.
- Experience driving data modeling and transformation projects with complex entity relationships and high-quality standards.
- Practical exposure to AI/ML productization: partnering with data scientists to define training data, evaluate model performance, and integrate AI outputs into production systems.
- Strong analytical and systems-thinking mindset with deep understanding of how data flows and scales.
- Ability to define validation frameworks, QA rules, and performance metrics for structured and semi-structured data.
- Excellent communicator who can translate between technical and business stakeholders and align diverse interests into unified outcomes.
- Collaborative leadership style with a bias for action and ability to resolve ambiguity through structure and logic.
- Competitive compensation package.
- Opportunities for career growth and development.
- Collaborative work environment with regular team outings and happy hours.
At our company, we value diversity, inclusivity, and mutual respect. We strive to create a workplace where everyone can be themselves and bring their full, authentic selves to work.
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