Staff Product Manager, Data Engineering & Analytics

About Anaconda

Be at the center of AI

Anaconda is built to advance AI with open source at scale, giving builders and organizations the confidence to increase productivity, and save time, spend and risk associated with open source. 95% of the Fortune 500 including Panasonic, AmTrust, Booz Allen Hamilton and over 50 million users rely on the value The Anaconda AI Platform delivers through a centralized approach to sourcing, securing, building, and deploying AI. With 21 billion downloads and growing, Anaconda has established itself as the gold standard for Python, data science, and AI and the enterprise-ready solution of choice for AI innovation. Anaconda is backed by world-class investors including Insight Partners. Learn more at https://www.anaconda.com.

Summary:

Anaconda is seeking a talented Staff Product Manager, Data Engineering and Analytics to join our rapidly-growing company. This is an excellent opportunity for you to leverage your experience and skills and apply it to the world of data science, artificial intelligence, and machine learning. You’ll work at the intersection of technical execution and product strategy, partnering closely with our data engineering, data science, and analytics teams to build the data infrastructure and tooling that powers decision-making across our organization.

What You’ll Do:

• Partner with data engineers, data scientists, and analysts to define and execute the roadmap for our internal data platform, pipelines, and analytics capabilities
• Collaborate with other product managers and teams to understand current telemetry capabilities and needs across our product ecosystem and provide best practices for collecting product data.
• Drive the development of self-service data tools and infrastructure that enable go-to-market, sales, marketing, and product teams to efficiently access, analyze, and report on data
• Own the product strategy for data discovery, governance, and democratization initiatives that make our data more accessible and trustworthy across the organization
• Work directly with technical teams to facilitate the designing of data pipelines, data models, and architecture for scalable solutions that meet the evolving needs of internal stakeholders
• Collaborate with cross-functional teams to understand their data requirements and translate business needs into technical specifications and product features. You’ll operate at the intersection of strategy and execution - defining quarterly goals and planning while working with the engineering team to manage the backlog and triage incoming requests.
• Establish and monitor key metrics for data platform adoption, performance, and user satisfaction
• Lead initiatives to improve data quality, reliability, and observability across our data ecosystem
• Champion data best practices and help build a data-driven culture throughout the organization
• Manage stakeholder relationships and communicate complex technical concepts to both technical and non-technical audiences

What You Need:

• 10+ years of product management experience with at least 3+ years focused on data platforms, analytics tools, or data infrastructure
• Strong technical background with hands-on experience in data engineering concepts including ETL/ELT pipelines, data warehousing, and modern data stack technologies
• Proven track record of working closely with data engineers and data scientists in a collaborative, technical environment
• Experience building and scaling internal data platforms or analytics tools for business stakeholders
• Deep understanding of data governance, data quality, and self-service analytics principles
• Excellent stakeholder management skills with experience translating business requirements into technical solutions
• Strong analytical mindset with the ability to use data to drive product decisions and measure success
• Experience with modern data technologies such as cloud data warehouses, data lakes, workflow orchestration tools, and BI platforms
• You embody our values of Clarity, Care and Candor
• You care deep