Senior Product Manager, Data- Grata

Datasite•New York, NY

2d•$100,600 - $169,800•Hybrid

About The Position

Grata is the leading private market dealmaking platform. We make it easy to find, research, and engage with private companies. Our platform has the most comprehensive, accurate, and searchable proprietary data on private companies, their financials, and their owners. We’re looking for an experienced Senior Product Manager, Data, to drive forward Grata’s data initiatives, from expanding the scope of private companies in our system to introducing new datasets to our customer base to upholding our high data quality standards. In this role, you will strategize, implement, and optimize data accuracy, availability and freshness to enhance customer workflows and expand our product’s capabilities. As our Senior Product Manager, Data, you’ll collaborate with cross-functional teams to deeply understand customer needs, prioritize impactful features, and work closely with engineering and data scientists to deliver high-quality datasets. You will play a crucial role in ensuring Grata’s data adheres to Grata’s data quality standards, maintain reliability, and scale effectively with the evolving needs of our growing business. We are looking for someone who takes initiative, excels in a fluid environment and transforms ambiguity into clear solutions. The ideal candidate is also deeply customer-obsessed, ensuring that their work consistently aligns with and addresses customer needs. If you’re passionate about building innovative products, shaping the future of Grata’s data, and driving real impact for users, we’d love to hear from you. Grata is a hybrid company, which means our employees work from our NYC office (near Columbus Circle) on Mondays, Tuesdays and Thursdays.

Requirements

5+ years of product management experience
Excellent written and verbal communication
Experience developing a strategic vision and product roadmap for data initiatives
Can partner and influence effectively across all levels of an organization, and regularly use these skills to improve the work going on around you
Experience in a prior start-up or high-ambiguity environment; a track record of managing ambiguity and complexity affecting many stakeholders in an organized and structured way
Comfortable working hands-on with data to inform product decisions — able to write SQL and analyze datasets (familiarity with Python or R a plus)
Working knowledge of how data is structured and moved — data warehouses, ETL/ELT pipelines, and data governance — enough to partner credibly with engineering and data science
Familiarity with modern data stack tools (e.g., Snowflake, BigQuery, Databricks, Airflow, dbt) and how they shape what’s feasible for the product
Ability to translate complex data concepts into clear product requirements and roadmaps that scale with the business

Nice To Haves

Domain knowledge and experience with the private capital markets
Prior experience as a data scientist, data engineer or senior data analyst

Responsibilities

Build a deep understanding of customer needs, pain points, and behaviors by partnering with commercial teams and conducting user research and data analysis
Develop strategic roadmaps with clear milestones and measurable metrics to achieve ambitious goals and track progress effectively
Work across machine learning, data scientists, design, engineering, QA, and product marketing to define and ship the roadmap
Prioritize initiatives ruthlessly using a data-driven approach to maximize impact and deliver customer value
Craft detailed requirements informed by customer conversations, usage data analysis, and iterative feedback from design and engineering teams
Establish yourself as the go-to expert and trusted leader for the product area, building credibility through ownership and results
Communicate effectively with cross-functional teams and executive stakeholders, distilling complex ideas into clear insights that drive alignment across the organization