Technology Product Manager

About the position

The Technology Product Manager is a member of the Investment Data Engineering team and is primarily responsible for driving rapid delivery of thoughtfully curated and trustworthy data pipelines to support investment research using alternative data. The role partners closely with data scientists to shape their ideas into clear, actionable specifications, translates those into technical requirements for data engineers to implement, and manages the project team to plan. This position requires a strong intuition for data quality, a background working in data-related or other analytical roles, superior organizational and communication skills, and a passion for contributing to data pipelines used to generate actionable investment insights.

Responsibilities

• Partner with data scientists to shape analytical ideas into clear data pipeline specifications.
• Gather use cases, align on solutions, and translate into actionable requirements for data engineering team.
• Play a key role in launching data pipelines by thoroughly validating results against requirements.
• Develop a deep understanding of the team's alternative datasets.
• Serve as the subject matter expert for data scientists to answer questions about capabilities of the data.
• Investigate, understand, and resolve the root cause of data quality issues through communications with external vendors and internal stakeholders.
• Analyze issues to identify trends over time.
• Understand and implement data scientists’ priorities in the short (weekly) and long (quarterly) term.
• Lead data engineering team status meetings, including daily stand-ups and weekly sprint planning.
• Manage the data engineering team’s portfolio and reporting of pipelines.
• Contribute to and enforce best practices related to task management and project reporting.
• Maintain spaces for knowledge-sharing across the data team to ensure information about how the data should be used, limitations, and context is well-documented and accessible.

Requirements

• 4+ years of relevant experience working in an analytical or data-related role.
• A bachelor’s degree with a record of academic success.
• Proficiency in SQL.
• Experience with project management tools (e.g., Jira, Asana), business intelligence / data visualization tools (e.g., Tableau, PowerBI, Looker), and data build tool (dbt) preferred.
• Experience navigating cloud data warehouses (e.g., Snowflake, Redshift, BigQuery) preferred.
• Experience in the investment management or financial services industry preferred.

Nice-to-haves

• Strong intuition around data quality, structure, and practical applications.
• Excellent written and verbal communication skills, with the ability to tailor messaging and technical depth to diverse audiences.
• Adept at juggling multiple, competing priorities and managing a project team to plan.
• Committed to delivering high-quality work and driving project teams to do the same.
• Comfortable with and enjoys working as part of a team.
• Interested and eager to learn about new topics and technologies to solve individuals’ frequently evolving data needs.

Benefits

• Base salary range of $150,000 to $200,000.
• Discretionary bonus eligibility.
• 100% coverage of medical and dental premiums.
• Paid lunches.