About the position
Equinix is the world's digital infrastructure company, operating over 260 data centers across the globe. Digital leaders harness Equinix's trusted platform to bring together and interconnect foundational infrastructure at software speed. Equinix enables organizations to access all the right places, partners and possibilities to scale with agility, speed the launch of digital services, deliver world-class experiences and multiply their value, while supporting their sustainability goals. A career at Equinix means you will collaborate on work that impacts the world and be surrounded by endless opportunities to learn new skills and grow in varied directions. We embrace diversity in thought and contribution and are committed to providing an equitable work environment that is foundational to our core values as a company and is vital to our success. A leadership role at Equinix means you will drive and collaborate on work that impacts the world. We embrace diversity in thought and contribution and are committed to providing an equitable work environment that is foundational to our core values as a company and is vital to our success.
Responsibilities
- Lead multi-functional teams and shape the end-to-end strategy for enterprise data and AI products
- Define and evolve the enterprise data product vision across key verticals, aligned with company priorities and C-suite goals
- Champion data-driven culture and serve as the executive-level thought partner for senior leaders
- Define, build, validate, test, and promote adoption of our core enterprise data products to drive faster, smarter decision-making across the business
- Own the product lifecycle from ideation through delivery and continuous improvement, ensuring usability, scalability, and measurable impact
- Productize analytics solutions - from self-service insights and KPI dashboards to intelligent assistants and AI copilots
- Prioritize and allocate resources against the highest ROI opportunities; establish business cases, KPIs, and outcome measurement
- Partner with AI Engineering and Data Science to identify, experiment, and scale AI use cases that drive automation, insight generation, and predictive capabilities
- Translate emerging AI technologies into enterprise-ready applications with tangible ROI
- Drive rapid iteration, experimentation, and feedback loops to validate and scale AI-driven products
- Build trust with C-level and senior business leaders through deep understanding of functional strategies, data needs, and pain points
- Run structured roadmap reviews, co-create use cases, and ensure transparency in prioritization and delivery trade-offs
- Drive alignment across business, data governance, engineering, and change management teams
Requirements
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field
- Experience performing statistical analysis, and coding (e.g., SQL, Python, R)
- Minimum of 8 years' experience in Product Management and/or Data Science, preferably within the data/analytics domain, either internal facing or both internal and customer facing products (e.g., commercialized and generating revenue)
- Excellent communication and interpersonal skills, with proven track record of building strong relationships with business stakeholders
- Experience operating in a highly cross functional, multinational business
- Dynamic, forward-thinking leader with a bias for action, rapid experimentation, and ability to break down complex problems
Nice-to-haves
- Prior experience in Data Center, Cloud, Telecommunications, IT industry
