Job Title

Who are we? p>Equinix is the worlds 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. Youll work across teams, influence key decisions, and help shape the path forward. Youll find belonging, purpose, and a team that welcomes youbecause when you feel valued, youre empowered to do your best work. Job Summary Our data products power the insights, decisions, and operations of teams across Equinix. We build and manage core data platform capabilities, reusable data models, semantic layers, decisionready dashboards, conversational BI, and custom AI solutions including interconnection recommendation engines and automated data center cage design. As we scale, we transform internal operational and analytical data into unified, governed, high quality assets for Equinix, and we plan to commercialize differentiated data and insights offerings for external customers. Were looking for a Director of Data Product Management to develop the data and AI product roadmap for our Global Markets and Product Organization (GMPO). This senior productapin leader will interface with senior business leaders, engineering, and data science teams. Youll partner directly with engineering and data science leadership as a peer, evaluating technical approaches, challenging estimates, and making buildvsbuy decisions. You wont just gather requirements and hand them off; youll shape solutions. Key priorities include building our Product360 capabilitya unified view of customer, product, and transaction data that will power pricing optimization, solution design, and networkintelligence products to help customers optimize their multicloud interconnection footprint. Responsibilities Build the product strategy and roadmap; own key products Develop the Data andgalAI product strategy for GMPO, aligned to business goals and prioritized against real constraints Lead development of a unified Product360 view that integrates customer firmographics, behavioral data, product usage, and transaction history Develop graphbased views of customer network topology to identify optimization opportunities, redundancy gaps, and capacity planning needs Partner with engineering as a technical peer Work sidebyside with engineering and data science leadership to evaluate technical options, identify technical tradeoffs, estimate effort, and make architecture recommendations where applicable Review and assess data models, pipeline designs, and system architectures; identify risks and tradeoffs before they become problems Critique and challenge inflated estimates and oversimplified proposals; know when a simple request is actually complex Guide engineering toward pragmatic solutions when requirements are ambiguous or shifting Drive business impact through stakeholder partnership Build trustbased relationships with senior business stakeholders by understanding their strategy, pain points, and how data and AI solutions can help Run Bildern quarterly portfolio reviews to ensure delivery stays on track and aligned to business needs Set clear expectations, push back on lowvalue requests, and educate stakeholders on whats possible and whats not Frame ambiguous problems, generate hypotheses, and drive to recommendations when theres no clear precedent Manage through transition and complexity Lead data product continuity during a major technology stack migration; ensure critical reporting capabilities remain intact as systems transition over multiple quarters Partner with engineering to design interim solutions that bridge Allianz and new data models during migration Balance strategic roadmap work with operational needs; protect time for building while keeping the lights on for products in maintenance mode Bring outsidein perspective Stay current on analytics, AI/ML, and data product trends; bring relevant innovations (Productischt 360 approaches, AIaugmentedi BI, knowledge graphs) to inform roadmap decisions Serve as a trusted technical advisor to business partners on whats emerging and whats hype Qualifications Required 10+ years of professional experience, including 6+ years in product management for enterprise data platforms, reporting and analytics products, or AI/ML products Prior hands technical experience as a data engineer, software engineer, or data scientist Deep fluency in SQL and data modeling you can inspect a schema, identify problems, evaluate query performance, and discuss normalization tradeoffs Track record of partnering with engineering leadership as a technical peer, not just a requirementspasser Proven ability to drive prioritization, make tradeoffs, and push back on stakeholders when needed Strong communication skills; able to simplify complex technical concepts for business audiences Experience operating in a highly crossfunctional, global business Preferred / Nice to have Experience managing AI/ML product development endtoend, from problem framing through deployment and iteration Experience building customerfacing data products, not just internal tools / dashboards Experience building Customer360 or product360 data products, including entity resolution and identity matching across multiple source systems Experience with building LLMready semantic layer ensure semantic layer is governed, wellmodeled, and reliable Cloud data platform expertise (e.g., BigQuery, Snowflake, Databricks , Redshift) Familiarity with MLOps concepts: feature stores, model serving, monitoring, retraining Industry background in cloud infrastructure, B2B SaaS, data centers, telecommunications, or multicloud networking Skills Able to break down ambiguous, crossfunctional problems and drive to a solution when theres no clear precedent Comfortable reading and critiquing technical artifacts data models, architecture diagrams, pipeline designs and asking the right questions when something doesnt add up Able to quickly tshirtsize level of effort for data and AI initiatives across product and engineering Efficiently translate between engineering and business simplifying technical tradeoffs for executives while maintaining credibility with engineers Drives decisions forward; knows when to build consensus and when to make the call and move on Takes ownership of outcomes, not just delivery; holds themselves and partners accountable to business impact Canada Toronto Office TRO : 182,000 272,000 CAD / Annual United States Dallas Infomart Office DAI : 177 quien 265,000 USD / Annual Equinix is an Equal Employment Opportunity and, in the U.S., an affirmative 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, sexuality 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. We use artificial intelligence in our hiring process. Learn more here. #J-18808-Ljbffr