Lead Product Manager

As a Lead Product Manager, Data on our Product Management team, you’ll work with our data engineering team to build out the data infrastructure for our Innovation Platform. You will play a crucial role in gathering and synthesizing requirements from stakeholders, prioritizing features, and ensuring effective communication throughout the development process. This role requires a technical background, excellent communication skills, and a strong ability to collaborate with both technical and non-technical stakeholders. If you have a passion for data, enjoy working in a fast-paced environment, and thrive on delivering impactful solutions, we want to hear from you.

• Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to gather and synthesize requirements, and translate them into actionable product features that align with the overall data strategy
• Conduct stakeholder interviews, workshops, and meetings to understand business needs and challenges, and effectively capture and document requirements
• Prioritize product features and enhancements based on business value, technical feasibility, and resource availability, and communicate the rationale and feature set to stakeholders
• Work with the development team to define and refine user stories, acceptance criteria, and product backlogs, ensuring clarity and alignment throughout the development process
• Provide guidance and support to the development team during the software development lifecycle (SDLC), including sprint planning, backlog grooming, and release management

• You have a bachelor's degree in mathematics, statistics, computer science, engineering, or a related field. A master's degree is a plus.
• You have 6+ years of experience in product management, with a focus on data infrastructure and data engineering

• You have a technical background and understanding of data management concepts, including data lakes, ETL processes, data modeling, data warehousing and data APIs. You may have been a data engineer in your past.
• You have a demonstrated ability to gather and synthesize requirements from stakeholders, and effectively communicate prioritization decisions
• You have strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions
• You have experience with agile methodologies and working in cross-functional teams
• You have familiarity with data governance, data privacy, and compliance regulations

• Drives Results: You persist in accomplishing objectives and exceeding goals despite obstacles and setbacks, while also helping others to achieve results.
• Manages Complexity:You ask the right questions to accurately analyze situations and uncover root causes to difficult issues. Through acquiring data from multiple and diverse sources, you are able to make sense of complex, high-quantity, and sometimes contradictory information to solve problems.
• Being Resilient: You are confident under pressure, and maintain a positive attitude despite setbacks or adversity.
• Collaborates: You work cooperatively with others across the organization to achieve shared objectives, partnering with others to get work done and crediting others for their contributions and accomplishments.

• In-office: New York, NY
• Remote: Alabama, Arizona, Arkansas, California, Colorado, Connecticut, Delaware, District of Columbia, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming

Full-time base salary range of $175,000 plus a competitive equity & benefits package listed under the "Why work with us?" section.