Senior Director, Enterprise Data Product, Asset Product Leader

Overview

Join to apply for the Senior Director, Enterprise Data Product, Asset Product Leader role at Equinix.

The Enterprise Data & Analytics (EDNA) team is building the foundation for data-driven decision making at Equinix. We are responsible for developing the core data platform, product, process, and policy that enable the business to operate with greater speed, clarity, and confidence. Our mission is to deliver data as a product – intuitive, trusted, and actionable – to power better and faster decisions across the company.

A career at Equinix means you will collaborate on work that impacts the world and be surrounded by 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 vital to our success.

Role:
The Senior Director of Enterprise Data Product will drive enterprise-wide impact through cutting-edge data and AI product leadership. This role is a critical bridge between business strategy and technical execution, responsible for shaping, testing, and delivering high-value data and AI capabilities that are intuitive, scalable, and measurable. You’ll work across multiple verticals (e.g., Finance, Legal, HR, Marketing, Product, Operations) to ensure our data and AI investments unlock meaningful business outcomes.

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 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

Qualifications

• 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 a 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
• Preferred: Prior experience in Data Center, Cloud, Telecommunications, IT industry

Skills and Attributes

• Analytical problem solver with the ability to work under pressure and multitask while leading cross-functional teams
• Excellent communicator able to simplify the complex
• Ability to build and maintain strong business relationships with key stakeholders as a trusted advisor
• Ability to demonstrate ownership and proactively drive initiatives
• Ability to balance collaboration while driving alignment and being decisive

Leadership characteristics

• Is a transformational leader who excels at driving bold and meaningful change at scale and across multiple dimensions
• Leads with a global mindset, across cultures, in a highly matrixed, relationship and consensus-driven environment
• Cultivates Innovation – Creates new and better ways for the organization to be successful. Fosters a climate where innovation can thrive. Encourages innovative risk taking and embraces failure as a part of innovation

Compensation

• The United States targeted pay range for this position in the following location is / locations are: San Francisco, CA / Bay Area: $250,000 to $374,000 per year
• Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location. Individual pay is based on additional factors including job-related skills, experience and relevant education and/or training.

This position may be offered in other locations. Your recruiter can share more about the specific pay range for your preferred location during the hiring process.

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.

Benefits and Accessibility

As an employee, you become important to Equinix’s success. Details about our company benefits can be found at the following link:

USA Benefits eBook

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 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, 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.