VP Product, Data & Analytics in Slough

VP Product, Data & Analytics in Slough

Slough Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead product strategy for a cutting-edge Utility Data Model and drive AI analytics.
  • Company: Join a rapidly scaling tech company transforming global energy management.
  • Benefits: Competitive salary, equity package, flexible holidays, and private health insurance.
  • Why this job: Make a real-world impact in the energy sector with innovative data solutions.
  • Qualifications: 10+ years in product leadership, strong data expertise, and excellent communication skills.
  • Other info: Dynamic role with global travel opportunities and a focus on career growth.

The predicted salary is between 43200 - 72000 £ per year.

We are partnering with one of the world's most exciting and rapidly scaling tech companies at the intersection of AI and Energy. They are building the number one platform for energy management with potential to transform utilities' transition to clean energy across the globe. This company powers energy systems globally, and already has 40% of the UK energy market running on its platform. With $500m in contracted ARR, a growing footprint across Europe, Japan, Australia, and the US, as well as the backing of leading investors, this company combines the financial strength of a market leader with the pace of a hyper-growth company.

Position Location: London, or USA ET. Candidates should expect frequent travel to London, as well as travel to clients globally.

As the company’s VP of Product Data & Analytics, you will be driving the vision, strategy, and value clients are getting from their Utility Data Model (UDM). This is a global, high-impact product management leadership role owning the strategy and execution of the UDM, allowing you to work on genuine frontier problems with immediate real-world application. This role will report jointly to the Chief AI & Corporate Development Officer and the Engineering COO.

Primary Responsibilities
  • Own the product strategy for the company’s UDM, defining what to model and the technical implementation approach, whilst overseeing its data sharing strategy, governance, and quality standards, and driving the product’s adoption.
  • Own strategy and roadmap for ‘AI-on-UDM,’ enabling teams and clients to build analytics and AI products on the company’s data model.
  • Oversee the product manager and analytics teams, with a focus on providing insights as a client service to better enable them to build data-driven products.
  • Build and manage a small data science team that solves high-value problems to advance the company’s competitive position.
Requirements:
  • 10+ years of product leadership experience, specifically within complex B2B2C Enterprise Software environments. Experience with large-scale ERP or CRM systems is a major plus.
  • A history of “Data” roles, with experience in successfully transforming technology infrastructure into organised, productised assets.
  • Excellent communication skills, with the ability to balance technical and business needs, whilst bridging the gap between technical details and strategic CEO-level messaging.
  • Strong technical literacy, with a keen understanding of data stewardship, semantic modeling, and API product management.
  • Strong strategic skills, with an equal ability to develop the product and pitch it.
  • A genuine passion for data and the customer experience.
Compensation and benefits
  • Competitive base salary + significant equity package
  • Flexible holiday policy
  • Flexible working
  • Private health insurance
  • Maternity leave 16 weeks full pay, partner leave 12 weeks full pay
  • Pension matching up to 10%
  • Bike or electric car purchase from gross salary
  • Learning & development budget
Interview process:
  • Executive interview – 30-60 mins
  • SME interview with Data leadership - 60 mins
  • Final interview with CEO – 30-60 mins

***Kraken is not offering visa sponsorship or help with immigration. If you do not have right to work in the UK or US, please do not apply***

VP Product, Data & Analytics in Slough employer: Higher - AI recruitment

As a leading tech company at the forefront of AI and energy management, we offer an exceptional work environment that fosters innovation and collaboration. Our London office is a hub for talented professionals, providing ample opportunities for personal and professional growth, alongside competitive benefits such as flexible working arrangements, generous parental leave, and a commitment to employee development. Join us to be part of a transformative journey in the energy sector, where your contributions will have a meaningful impact on the global transition to clean energy.
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Contact Detail:

Higher - AI recruitment Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land VP Product, Data & Analytics in Slough

Tip Number 1

Network like a pro! Reach out to connections in the industry, especially those who work at companies you're interested in. A friendly chat can lead to insider info and even referrals that could get your foot in the door.

Tip Number 2

Prepare for interviews by researching the company’s products and recent developments. Show them you’re not just another candidate; you’re genuinely excited about their mission in AI and energy management. Tailor your responses to highlight how your experience aligns with their goals.

Tip Number 3

Practice your pitch! You’ll want to clearly articulate your vision for the role of VP Product Data & Analytics. Think about how you can drive their Utility Data Model and what unique insights you can bring to the table.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.

We think you need these skills to ace VP Product, Data & Analytics in Slough

Product Strategy
Data Management
Technical Implementation
Data Sharing Strategy
Governance Standards
Quality Standards
AI Product Development
Analytics
Data Science Leadership
B2B2C Enterprise Software
ERP Systems
CRM Systems
Communication Skills
Technical Literacy
Strategic Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the VP of Product Data & Analytics role. Highlight your experience in product leadership, especially in B2B2C environments, and showcase any relevant achievements that align with the job description.

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your genuine passion for data and how your skills can drive the company's vision. Don’t forget to mention your understanding of AI and energy management, as it’s a key part of the role.

Showcase Your Communication Skills: Since excellent communication is crucial for this position, make sure your application reflects your ability to bridge technical and business needs. Use clear, concise language and avoid jargon where possible to demonstrate your strategic thinking.

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come directly from our site!

How to prepare for a job interview at Higher - AI recruitment

Know Your Product Inside Out

As a VP of Product Data & Analytics, you need to demonstrate a deep understanding of the Utility Data Model (UDM). Familiarise yourself with its features, benefits, and how it can transform energy management. Be ready to discuss specific examples of how you've driven product strategy in the past.

Showcase Your Leadership Experience

With over 10 years in product leadership, it's crucial to highlight your experience managing teams and driving product adoption. Prepare anecdotes that showcase your ability to lead cross-functional teams and deliver results, especially in complex B2B2C environments.

Bridge the Technical and Business Gap

You’ll need to communicate effectively with both technical teams and C-suite executives. Practice explaining complex technical concepts in simple terms, and be prepared to discuss how you've successfully aligned technical needs with business goals in previous roles.

Demonstrate Your Passion for Data

This role requires a genuine passion for data and customer experience. Be ready to share your thoughts on current trends in data analytics and AI, and how they can be leveraged to enhance client services. Show them that you're not just knowledgeable, but also enthusiastic about the impact of data on the industry.

VP Product, Data & Analytics in Slough
Higher - AI recruitment
Location: Slough

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