Summary
Description
Overview
As a key member of Equiti’s Product Team—our organization’s central hub—you will shape the data experience that powers business intelligence, operational efficiency, and strategic decision-making. You’ll partner with stakeholders across Engineering, Analytics, Operations, and Customer Success to deliver scalable, high-quality data products. This role blends classic product management with a strong focus on data strategy and governance, making it ideal for a detail-oriented problem solver who thrives at the intersection of business and technology.
Key Responsibilities
Lead the end-to-end product lifecycle for data products, including data pipelines, governance frameworks, and analytics platforms.
Collaborate with stakeholders to define requirements, prioritize use cases, and align data initiatives with company objectives.
Translate complex data needs into clear product requirements and user stories for engineering teams.
Establish and maintain standards for data quality, security, governance, and compliance.
Partner with engineering to design and deliver scalable, reliable, and extensible data infrastructure.
Define and track KPIs for data usage, adoption, and business impact; iterate based on results and feedback.
Participate in agile ceremonies and ensure timely delivery of data-driven features and enhancements.
Advocate for internal data users—analysts, product managers, and business stakeholders—ensuring data products are intuitive and actionable.
Coordinate cross-functional efforts on data integrations, reporting, and advanced analytics capabilities.
Develop product documentation, training materials, release notes, and support adoption across teams.
Key Skills
Self-driven, highly organized, and comfortable navigating ambiguity.
Strong understanding of data platforms, pipelines, and governance best practices.
Proven ability to translate business requirements into technical specifications for data solutions.
Excellent communication and interpersonal skills for cross-functional collaboration.
Analytical mindset with experience using SQL, Python, or BI tools (Tableau, Power BI, Looker).
Familiarity with agile methodologies, backlog management, and tools such as JIRA or Confluence.
Experience in building or managing data products, preferably in SaaS or service-focused environments.
Ability to balance long-term data strategy with immediate operational needs.
Bachelor’s degree in Computer Science, Data Science, Business, or related field, or equivalent practical experience (minimum 3 years in a data or product role).