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

Infoblox•Tacoma, WA

1d•$159,000 - $244,860•Remote

About The Position

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. How we empower our people is extraordinary: we’re recognized as a Glassdoor Best Place to Work 2025, Great Place to Work-Certified in five countries, and honored by Cigna as a Healthy Workforce honoree for three consecutive years; and what we build is world class: named CybersecAsia’s Best in Critical Infrastructure 2024 — clear evidence that when first-class technology meets empowered talent, remarkable careers take shape. So, what if the next big idea, and the next great career story, comes from you? Become the force that turns every “what if” into “what’s next.” In a world where you can be anything, Be Infoblox. Director, Data Product Manager — IT Data, Reporting & Analytics 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.

Requirements

15+ years of experience in product management, program management, or a hybrid role, with significant time in data, analytics, or infrastructure/platform domains including at least 3-5 years managing product management teams or cross-functional data programs with direct reports
Proven track record defining and executing strategy and roadmaps for data platforms, analytics products, or decision‑support solutions in complex, cross‑functional environments
Direct people management experience — demonstrated track record of hiring, developing, and performance-managing product managers or equivalent roles, ideally in a data or platform context
Demonstrated ability to operate at multiple altitudes — from portfolio‑level prioritization and OKRs to day‑to‑day project execution and issue resolution
Strong stakeholder management and executive‑level communication skills, with the ability to influence without authority and align diverse technical and non‑technical partners
Experience partnering with data engineering, analytics, and architecture teams; familiarity with modern data stack concepts and tools (e.g., Snowflake, dbt or similar frameworks, BI tools, and cataloging/governance platforms)
Hands‑on experience or strong familiarity with applying AI/ML to analytics and data products (e.g., predictive models, recommendations, anomaly detection, or generative AI copilots for discovery, documentation, or reporting)
Demonstrated success designing and implementing intake, prioritization, and delivery operating models for data or platform teams, including governance and portfolio management
High comfort with ambiguity and early‑stage maturity; history of building structure, processes, and standards where few existed and scaling them as organizations grow
Excellent written and verbal communication skills, including crafting crisp narratives, clear requirements, effective workshops, and senior‑level presentations
Bachelor’s degree in Computer Science, Information Systems, Engineering, Business, or a related field; advanced degree (e.g., MS, MBA) is a plus or equivalent practical experience

Nice To Haves

advanced degree (e.g., MS, MBA) is a plus or equivalent practical experience

Responsibilities

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