At a Glance
- Tasks: Lead innovative data and AI product strategies to drive impactful business decisions.
- Company: Equinix, a global leader in digital infrastructure with a collaborative culture.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Why this job: Shape the future of data-driven decision making in a dynamic environment.
- Qualifications: Master's degree in a quantitative field and 8+ years in Product Management or Data Science.
- Other info: Join a diverse team committed to innovation and meaningful change.
Join to apply for the Senior Director, Enterprise Data Product, Customer Product Leader role at Equinix
Who are we? 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.
Role: 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
We are seeking seasoned and visionary Senior Director of Enterprise Data Product to 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
Data Product Ownership
- 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
AI & Data Science Integration
- 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
Stakeholder Engagement
- 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 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 and 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
The United States targeted pay range for this position in the following location is:
- 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.
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.
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Senior Director, Enterprise Data Product, Customer Product Leader employer: Equinix
Contact Detail:
Equinix Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Director, Enterprise Data Product, Customer Product Leader
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those at Equinix. A friendly chat can open doors and give you insights that might just set you apart from other candidates.
✨Tip Number 2
Prepare for the interview by researching Equinix's recent projects and initiatives. Show us that you’re not just interested in the role but also passionate about what we do and how you can contribute to our mission.
✨Tip Number 3
Practice your storytelling skills! Be ready to share specific examples of how you've driven data product success in the past. We love hearing about real-world experiences that demonstrate your impact.
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you note can leave a lasting impression and shows us that you’re genuinely interested in joining the Equinix team.
We think you need these skills to ace Senior Director, Enterprise Data Product, Customer Product Leader
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Director role. Highlight your experience in data product management and any leadership roles you've held. We want to see how your skills align with our mission at Equinix!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and AI, and how you can drive enterprise-wide impact. Be sure to connect your past experiences to the responsibilities outlined in the job description.
Showcase Your Achievements: Quantify your achievements wherever possible. Did you lead a project that improved decision-making speed? Share those numbers! We love seeing how you've made a tangible impact in previous roles.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at Equinix.
How to prepare for a job interview at Equinix
✨Know Your Data Inside Out
As a Senior Director, you'll need to demonstrate a deep understanding of data products and analytics. Brush up on the latest trends in data science and AI, and be ready to discuss how these can drive business outcomes at Equinix.
✨Showcase Your Leadership Skills
This role requires leading multi-functional teams, so prepare examples of how you've successfully managed cross-departmental projects. Highlight your ability to foster collaboration and drive alignment among diverse stakeholders.
✨Align with Company Goals
Familiarise yourself with Equinix's mission and values. Be prepared to articulate how your vision for enterprise data products aligns with their strategic priorities and how you can contribute to their goals.
✨Prepare for Technical Questions
Expect questions about your technical expertise, especially in SQL, Python, or R. Be ready to discuss specific projects where you've applied these skills to solve complex problems or improve processes.