Senior Director, Enterprise Data Product, Asset Product Leader

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Senior Director, Enterprise Data Product, Asset Product Leader, London

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Client:

Equinix

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

d53fec063753

Job Views:

7

Posted:

12.08.2025

Expiry Date:

26.09.2025

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Job Description:

Who are we?

Equinix is the world’s digital infrastructure company, operatingover 260data 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 providingan 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 visionarySenior Director of Enterprise Data Productto 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:

Strategic Leadership

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 ourcore enterprise data productsto 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 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

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

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 .

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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