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Sr Mgr, Business Intelligence Product Owner
- Dallas, Texas, United States
- Dallas, Texas, United States
À propos
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; elevate 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 environments with evolving requirements and competing priorities; skilled at managing expectations, negotiating priorities, and communicating trade‑offs
Execution
Bias for action: moves quickly to unblock teams, clarify ambiguity, and drive decisions
Detail-oriented: ensures specifications are complete, accurate, and unambiguous before assigning to engineers
Proactive: identifies risks and dependencies early; escalates issues before they become critical blockers; uses data (velocity metrics, defect rates, cycle time) to identify process improvements
Location & Pay United States - Dallas Infomart Office DAI : 155,000 - 233,000 USD / Annual
Our pay ranges reflect the minimum and maximum target for new hire pay for the full‑time position determined by role, level, and location. The pay range shown is based on our compensation structure in place at the time of posting and may be updated periodically based on business needs. Individual pay is based on additional factors including job‑related skills, experience, and relevant education and/or training.
The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.
Equinix Benefits As an employee, you become important to Equinix’s success. We ensure all your benefits are in line with our core values: competitive, inclusive, sustainable, connected and efficient. We keep them competitive within the current marketplace to ensure we’re providing you with the best package possible. So, wherever you are in your career and life, you’ll be able to enhance your experience and bring your whole self to work.
Employee Assistance Program : An Employee Assistance program is available to all employees.
US Benefits: Insurance : You may enroll in health, life, disability and voluntary plans that are designed for you and your eligible family members. Retirement : You and Equinix may contribute to a retirement plan to help you plan for your financial future. Paid Time Off (PTO) and Paid Holidays : You will receive an accrued amount of PTO each pay period along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to change and may be subject to specific plan or program terms.
Equal Opportunity Employer Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.
Equinix is an Equal Employment Opportunity and, in the U.S., an Affi‑rmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.
Artificial Intelligence Hiring Process We use artificial intelligence in our hiring process. Learn more.
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Compétences linguistiques
- English
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