Who are we?
Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.
A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future.
A career at Equinix means being at the center of shaping what comes next and amplifying customer value through innovation and impact. You’ll work across teams, influence key decisions, and help shape the path forward. You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work.
Job Summary
Our Enterprise Data & Analytics (EDNA) organization is transforming today’s fragmented, ad-hoc reporting landscape to a unified, self-service platform that empowers analytics communities across Equinix's $10B+ global business. We are building a modern BI infrastructure composed of enterprise semantic layers, dimensional data models, analytics-ready "Explores," and self-service governance frameworks. This transformation will enable faster decisions, eliminates metric inconsistencies, and unlocks advanced analytics capabilities.
We are looking for a Senior Manager, Business Intelligence Product Owner to drive the day-to-day execution of our self-service BI platform roadmap. You will translate strategic product vision into executable work for Visual Engineers and Data Engineers, manage sprint-level prioritization, write detailed technical specifications, and ensure on-time delivery of high-quality data products. This role is the critical bridge between business requirements and engineering execution, working hands-on with cross-functional teams to deliver semantic layer capabilities, Subject Area Explores, and governed metrics that enable enterprise-wide self-service analytics.
Responsibilities
Backlog Management & Sprint Execution
- Own and maintain the BI platform engineering backlog in Jira, writing detailed user stories with clear acceptance criteria for Analytics Engineers (LookML, Explores, metrics) and Data Engineers (gold layer models, pipelines, transformations)
- Conduct daily standups, sprint planning, grooming sessions, and retrospectives with engineering teams to unblock issues, clarify requirements, and ensure sprint commitments are on track
- Track velocity, burn-down, and delivery metrics; escalate risks and dependencies that threaten delivery timelines to project team
Requirements Translation & Technical Specification
- Partner with Domain Portfolio Managers to decompose high-level business requirements into sprint-sized, technically precise user stories
- Document detailed specifications including source system mappings, data transformation logic, business rules, metric calculations, aggregation strategies, performance requirements, and data quality expectations
- Validate specifications are complete and unambiguous before assigning to engineering, working with Business Systems Analysts to ensure data mappings are accurate and feasible
Cross-Functional Coordination & Quality Assurance
- Identify and manage dependencies across Analytics Engineering, Data Engineering, Platform, and Governance teams; coordinate delivery when multiple teams contribute to a single data product
- Conduct user acceptance testing (UAT) for new Subject Area Explores, curated dashboards, and semantic layer metrics before production deployment; own production readiness checklist (performance, security, documentation, training materials)
- Provide regular status updates to stakeholders on sprint progress, delivery timelines, and scope changes; run demos showcasing newly delivered capabilities
Qualifications
Technical Background
- 5-7+ years in Analytics Engineering, Business Intelligence, Data Engineering, or Technical Product Ownership roles
- Hands-on experience with modern data stack tools: dbt, LookML (Looker), SQL, cloud data warehouses (BigQuery, Snowflake, or Databricks)
- Deep understanding of dimensional modeling (star schema, fact/dimension tables) and semantic layer concepts (metrics, measures, dimensions, business logic layers)
Product Ownership & Agile Delivery
- Proven track record managing agile backlogs, writing user stories, and driving sprint execution for engineering teams using Jira or similar tools
- Strong facilitation skills for sprint ceremonies: standups, grooming, planning, demos, retrospectives
- Ability to decompose complex business requirements into sprint-sized, technically executable increments with focus on delivery velocity, quality, and stakeholder satisfaction
Stakeholder Management & Communication
- Excellent written and verbal communication skills; ability to translate between business language and technical specifications
- Experience partnering with cross-functional teams including Analytics Engineers, Data Engineers, Business Analysts, and business stakeholders
- Comfortable working in fast-paced, ambiguous environ