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Senior Director, Enterprise Data Product, Customer Product Leader
Equinix
Lead enterprise data & AI product strategy, delivery, and adoption across business units.
1d ago
£250,000 - £374,000
Expert & Leadership (13+ years)
Full Time
London, England, United Kingdom
Office Full-Time
Company Size
10,000 Employees
Service Specialisms
Data center colocation
Interconnection services
Smart Hands / remote support
Software-defined interconnection
Network Edge services
Equinix Metal (bare metal)
Equinix Fabric (cloud routing)
Managed services (integration & advisory)
Sector Specialisms
No specialisms available
Role
What you would be doing
ai strategy
data products
ai usecases
product lifecycle
stakeholder alignment
roadmap reviews
- Lead multi-functional teams and shape the end-to-end strategy for enterprise data and AI products
- Translate emerging AI technologies into enterprise-ready applications with tangible ROI
- 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
- Define, build, validate, test, and promote adoption of our core enterprise data products to drive faster, smarter decision-making across the business
- Define and evolve the enterprise data product vision across key verticals, aligned with company priorities and C-suite goals
- Drive rapid iteration, experimentation, and feedback loops to validate and scale AI-driven products
- Own the product lifecycle from ideation through delivery and continuous improvement, ensuring usability, scalability, and measurable impact
- Drive alignment across business, data governance, engineering, and change management teams
- Build trust with C-level and senior business leaders through deep understanding of functional strategies, data needs, and pain points.
- Champion data-driven culture and serve as the executive-level thought partner for senior leaders
- 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
- Run structured roadmap reviews, co-create use cases, and ensure transparency in prioritization and delivery trade-offs
What you bring
sql
python
r
master's
8+ years
leadership
- Is a transformational leader who excels at driving bold and meaningful change at scale and across multiple dimensions
- Experience performing statistical analysis, and coding (e.g., SQL, Python, R).
- Analytical problem solver with the ability to work under pressure and multitask while leading cross-functional teams
- 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)
- Dynamic, forward-thinking leader with a bias for action, rapid experimentation, and ability to break down complex problems
- Excellent communicator able to simplify the complex
- Ability to balance collaboration and driving alignment, and being decisive
- Ability to demonstrate ownership and proactively drive initiatives
- Excellent communication and interpersonal skills, with proven track record of building strong relationships with business stakeholders
- Ability to build and maintain strong business relationships with key stakeholders as a trusted advisor
- Experience operating in a highly cross functional, multinational business
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- Preferred: Prior experience in Data Center, Cloud, Telecommunications, IT industry
- Productize analytics solutions — from self-service insights and KPI dashboards to intelligent assistants and AI copilots
- San Francisco, CA / Bay Area: $250,000 to $374,000 per year
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Interview process
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Company
Overview
1998
Year Established
The company was established in 1998, marking the beginning of its journey in providing data center and interconnection services.
25+ Countries
Global Presence
Operates in over 25 countries, showcasing its extensive international reach and capability to serve a global clientele.
200+ Data Centers
Global Infrastructure
Provides essential services through over 200 data centers worldwide, supporting digital ecosystems and business growth.
- World’s largest provider of data center and interconnection services.
- Offers cutting-edge solutions that enable businesses to scale and adapt to the digital age.
- Facilitates high-performance connections for industries like cloud computing, telecommunications, and finance.
- Provides services including hybrid cloud solutions, network and application performance optimization, and interconnection for business ecosystems.
- At the forefront of advancing global digital transformation through strategic partnerships with leading companies.
- Innovative business models drive enterprise infrastructure modernization, ensuring security and compliance.
- Thriving workplace where every colleague is valued and respected for who they are and what they contribute
- Foster belonging—cultivating an environment where every employee feels empowered to bring their authentic selves to work
- Deliberate inclusion of all perspectives to strengthen decision‑making and business outcomes
- Programs to enhance workplace experience and attract high‑performing talent
Net-zero by 2040
Greenhouse Gas Emissions Target
Committed to achieving net-zero greenhouse gas emissions across all scopes by 2040, verified by Science Based Targets.
50% reduction by 2030
Emission Reduction Target
Reducing Scope 1/2 emissions and fuel/energy-related Scope 3 emissions by half from 2019 levels by 2030.
100% Renewable Energy
Global Portfolio Goal
Aiming to source 100% of energy from renewable sources across all operations by 2030, having reached 96% in 2024.
A-List Recognition
CDP Climate Change
Achieved consecutive years of 'A-List' recognition from CDP for climate change management and transparency.
- Target global average PUE of 1.33 by 2030; achieved 1.39 in latest reporting (6% improvement YoY)
- Installed 72 MW fuel cells (capable of Hâ‚‚ blends), avoiding 285,000 MTCOâ‚‚e and 382 billion gallons of embedded water use
- Consumed 8,560 GWh electricity across 268 data centers in 35 countries, with 1,285 MW of long-term PPAs
- Reduced operational Scope 1/2 emissions 24% from 2019 baseline; total 2024 footprint 1,747,700 MTCOâ‚‚e
- Issued ~$6.9 billion in green bonds to finance green buildings, energy efficiency, renewable energy, and decarbonization projects
17% increase
Women Employees Increase
Represents a significant global growth in the number of women employees over the past year.
14% increase
Black/African-American Employees
Signifies a notable rise in the number of U.S.-based Black/African-American employees.
47 organizations
Digital Inclusion Funding
Reflects the number of organizations supported by the foundation to enhance digital access and skills development.
11–37% increase
Employee Volunteer Hours
Highlights the growth in global volunteer hours, with a notable example of 25,300 hours in the latest reporting period.
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