Director, Data Product Manager - IT Data, Reporting & Analytics

Director, Data Product Manager — IT Data, Reporting & Analytics

At Infoblox, every breakthrough begins with a bold "what if."

What if your ideas could ignite global innovation?

What if your curiosity could redefine the future?

We invite you to step into the next exciting chapter of your career journey. Bring your creativity, drive, your daring spirit, and feel what it's like to thrive on a team big enough to make an impact, yet small enough to make a difference. Our cloud-first networking and security solutions already protect 70% of the Fortune 500, and we're looking for creative thinkers ready to push that influence even further.

Join us and discover how far your bold "what if" can take the world, your community, and your career.

In a world where you can be anything, Be Infoblox.

We have an opportunity for a Director, Data Product Manager to join our IT Data, Reporting & Analytics team in the US, reporting to the Senior Director - Data, Analytics and Reporting. In this pivotal role, you will lead the strategy, roadmap, and execution of Infoblox's enterprise data products and platforms, driving the evolution of our data capabilities from reactive reporting to proactive, AI‑enhanced decision intelligence.

You will also directly manage and grow a team of Data Product Managers, providing coaching, career development, and operational leadership as the function scales. Collaborating closely with Finance, Sales Operations, Customer Success, Product, IT, and Security, you will guide high‑impact cross‑functional initiatives, shape how data is governed and consumed across the company, and build the operating model that enables scalable analytics, automation, and AI‑driven insights.

• Define and own the multi‑year vision, strategy, and roadmap for enterprise data products, including core datasets, semantic layers, reporting, analytics, and AI‑powered decision support tools
• Build and maintain an outcome‑driven data product portfolio that balances foundational platform investments, AI and automation opportunities, and business‑critical requests
• Partner with senior business and technology leaders to identify, prioritize, and refine high‑value data use cases across revenue, customer, efficiency, and risk domains
• Translate business goals into clear data product requirements, including data sourcing, quality, modeling, access patterns, SLAs, and success metrics
• Lead cross‑functional programs from inception through launch, managing scope, dependencies, risks, and communications across IT, data engineering, analytics, architecture, and business teams
• Hire, manage, and develop a team of Data Product Managers, including goal-setting, performance management, and career pathing
• Delegate and distribute work across the data product management team, ensuring appropriate scope ownership at each level while maintaining visibility and accountability
• Coach your team on product thinking, stakeholder management, and delivery execution, actively raising the capability floor of the team over time
• Model and reinforce strong product management practices across the team, including road mapping, requirements clarity, and outcome measurement
• Establish and improve intake, triage, and prioritization processes for data and analytics work, ensuring transparency and alignment on trade‑offs
• Define and track KPIs for data products (adoption, reliability, data quality, business impact) and use them to drive continuous improvement and deprecate low‑value assets
• Partner with data engineering and platform teams to design scalable, governed data models and pipelines using the modern data stack (e.g., Snowflake, dbt, orchestration, cataloging, BI tools)
• Collaborate with data governance and security stakeholders to advance policies for data quality, lineage, access controls, and responsible AI use
• Leverage AI and machine learning (including generative AI assistants and ML‑driven analytics) to enhance data discovery, reporting, anomaly detection, and self‑service insights

• 15+ years of experience in product management, program management, or a hybrid role, with significant time in data, analytics, or…