Sr. Director/VP, Data & AI Strategy
Sr. Director/VP, Data & AI Strategy

Sr. Director/VP, Data & AI Strategy

Bath Full-Time 72000 - 108000 Β£ / year (est.) Home office (partial)
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Cognibox

At a Glance

  • Tasks: Lead data strategy and ML/AI initiatives to drive innovation and insights.
  • Company: Join Alcumus, a forward-thinking company focused on data excellence and collaboration.
  • Benefits: Enjoy hybrid work, generous leave, healthcare, and upskilling opportunities.
  • Other info: We value diverse backgrounds and support personal growth for all applicants.
  • Why this job: Be a key player in shaping data culture and making impactful decisions.
  • Qualifications: Degree in relevant field with 10+ years in data strategy or ML/AI leadership.

The predicted salary is between 72000 - 108000 Β£ per year.

Sr. Director/VP, Data & AI Strategy

Department: Technology & Product

Employment Type: Permanent

Location: Bath, UK

Description

We are seeking a dynamic and visionary leader to join our team as Sr. Director / VP of Data Strategy and ML/AI . This role is responsible for shaping and driving our enterprise-wide data strategyβ€”leveraging data as a strategic asset to deliver actionable insights, enable innovation through ML/AI, and support scalable, secure, and trustworthy data practices.
This high-impact leadership role requires cross-functional collaboration across Product, Engineering, Operations, Finance, and Compliance. You will be the steward of our data ecosystem, championing a culture of data excellence, insight-led decision making, measurable business outcomes, and embedded ML/AI capabilities.

What that means day to day

Architecture & Platform Leadership:
– Architect a unified and scalable enterprise data platform supporting structured and unstructured data.
– Build a modern Data Lakehouse/Warehouse as a single source of truth.
– Implement reporting and dashboarding solutions that empower internal teams and customers.
– Ensure platform reliability, observability, and security.
– Promote reusable, curated datasets and self-service analytics across teams.
– Collaborate with BI, Engineering, and business stakeholders to enhance analytics delivery.
– Leverage cloud platforms and modern pipeline tooling (e.g., Snowflake, Databricks, Azure, AWS).
ML/AI Strategy & Execution:
– Lead the design and deployment of scalable ML/AI capabilities on top of the data infrastructure to enhance our applications and business processes.
– Deliver high-impact initiatives such as predictive modeling, advanced analytics, and intelligent automation.
– Collaborate with Product and Engineering to embed ML/AI into core application features and workflows.
– Establish success metrics and a governance model for AI deployments.
Data Strategy & Governance:
– Define and execute a modern, enterprise-wide data strategy aligned with business objectives.
– Foster a culture of trusted data stewardship, literacy, and transparency.
– Establish data governance practices including change control, provenance tracking, and auditability.
– Build and evolve a robust data integration, reporting, and analytics platform using a Data Lakehouse, Warehouse, or Data Mart architecture.
Cross-Functional Collaboration:
– Align data initiatives with Product, Engineering, and Operations roadmaps.
– Act as a unifying force across departments to eliminate silos and improve insight delivery.
– Lead enterprise reporting initiatives, benchmarking, and data-driven transformation.
– Ensure measurable outcomes from all data and analytics programs.

What you’ll need to be successful

Required Qualifications:
– Degree educated in Computer Science, Data Science, Engineering, or related field; Master\’s/PhD preferred.
– 10+ years in data strategy, analytics, or ML/AI leadership roles.
– Proven experience with platforms like Snowflake, Databricks, Microsoft Fabric, etc.
– Deep expertise in data architecture, pipeline orchestration, and real-time analytics.
– Ability to influence executive stakeholders and communicate complex ideas clearly.
– Strong leadership and organizational change skills.
Preferred Qualifications:
– Experience in high-growth or private equity-backed environments.
– Familiarity with SaaS, compliance, or workforce management platforms.

What you\’ll get in return

Alcumus has a hybrid workplace policy, where you will work from the office 3 days per week. We want you to be able to do your best work here. We emphasize providing many ways to support our team to do their best work and below are some of the perks and benefits we offer:

Personal Health & Wellbeing / Benefits

> Enhanced Parental Leave

>Generous annual leave

> Healthcare Plan

> Annual Giving Day – an extra day to give back to yourself or your community

> Cycle-to-work Scheme

Future Planning

> Pension scheme with employer contributions

> Life Assurance – 3X base salary

> Rewards Program – access to discounts and cashback

> LinkedIn Learning License for upskilling & development

Interested but don’t feel you meet all the requirements?

Our recruitment team assesses and reviews all applications against the role and business needs. We believe in people having transferable and soft skills and want you to know that we do consider where an individual might not meet all the criteria, but have the aptitude and capability, nonetheless. Our priority is to ensure we set people up for success. We will make a final call based on our determining whether we can offer the necessary support to upskill or provide the developmental support needed for you to get the best out of this opportunity with us!
Bring Your Whole Self to Work.

Alcumus is proudly an equal-opportunity employer. We are committed to ensuring that no candidate is discriminated against because of gender identity and expression, race, disability, ethnicity, sexual orientation, age, colour, region, creed, national origin, or sex. We are dedicated to growing a diverse team while continuing to create an inclusive environment where everyone feels safe and empowered to be themselves.
What you can expect if you apply:

  • A response to your application within 15 working days
  • An interview process consisting of:
    • An initial discovery call with the recruiter
    • A first stage interview via Microsoft Teams
    • Additional interview (likely face to face) with the stakeholders you’ll be working with closely in the role

We’re keen to ensure our hiring process allows you to be at your best, so if you need us to make any adjustments, please just let us know.

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Sr. Director/VP, Data & AI Strategy employer: Cognibox

Alcumus is an exceptional employer located in Bath, UK, offering a dynamic work environment that fosters innovation and collaboration. With a strong emphasis on employee well-being, generous benefits such as enhanced parental leave, a healthcare plan, and a commitment to professional development through LinkedIn Learning, Alcumus supports its team members in achieving their best work. The company champions a culture of inclusivity and diversity, ensuring that every employee feels valued and empowered to contribute meaningfully to the organisation's success.
Cognibox

Contact Detail:

Cognibox Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Sr. Director/VP, Data & AI Strategy

✨Tip Number 1

Network with professionals in the data and AI field, especially those who have experience in leadership roles. Attend industry conferences or webinars to connect with potential colleagues and learn about the latest trends in data strategy.

✨Tip Number 2

Showcase your expertise in platforms like Snowflake and Databricks by engaging in relevant online communities or forums. Sharing insights or asking questions can help you establish credibility and make valuable connections.

✨Tip Number 3

Prepare to discuss your vision for data strategy and ML/AI during interviews. Think about how you would align these initiatives with business objectives and be ready to share examples of past successes in similar roles.

✨Tip Number 4

Familiarise yourself with Alcumus' culture and values by researching their recent projects and initiatives. Tailoring your discussions to reflect their commitment to diversity and inclusion can demonstrate your alignment with their mission.

We think you need these skills to ace Sr. Director/VP, Data & AI Strategy

Data Strategy Development
Machine Learning and AI Implementation
Data Architecture Design
Cloud Platform Proficiency (e.g., Snowflake, Databricks, Azure, AWS)
Data Governance Practices
Cross-Functional Collaboration
Predictive Modelling
Advanced Analytics
Organisational Change Management
Stakeholder Communication
Data Integration Techniques
Real-Time Analytics
Leadership Skills
Analytical Thinking

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights relevant experience in data strategy, analytics, and ML/AI leadership. Use specific examples that demonstrate your ability to drive enterprise-wide data initiatives and collaborate across departments.

Craft a Compelling Cover Letter: In your cover letter, express your passion for data and AI. Discuss how your vision aligns with the company's goals and how you can contribute to their data ecosystem. Be sure to mention any experience with platforms like Snowflake or Databricks.

Highlight Leadership Skills: Given the seniority of the role, emphasise your leadership experience. Provide examples of how you've influenced stakeholders, led cross-functional teams, and driven measurable business outcomes through data initiatives.

Showcase Continuous Learning: Mention any relevant certifications or courses you've completed, especially those related to data science, machine learning, or cloud platforms. This demonstrates your commitment to staying updated in a rapidly evolving field.

How to prepare for a job interview at Cognibox

✨Showcase Your Vision

As a candidate for the Sr. Director/VP role, it's crucial to articulate your vision for data strategy and ML/AI. Prepare to discuss how you would leverage data as a strategic asset and drive innovation within the company.

✨Demonstrate Cross-Functional Collaboration

Highlight your experience in collaborating with various departments such as Product, Engineering, and Operations. Be ready to provide examples of how you've successfully aligned data initiatives with business objectives and improved insight delivery.

✨Discuss Technical Expertise

Familiarise yourself with the platforms mentioned in the job description, like Snowflake and Databricks. Be prepared to discuss your hands-on experience with these tools and how they can be utilised to enhance data architecture and analytics.

✨Prepare for Leadership Questions

Expect questions about your leadership style and how you manage organisational change. Think of specific instances where you've led teams through transitions or implemented new strategies, and be ready to share measurable outcomes from those experiences.

Sr. Director/VP, Data & AI Strategy
Cognibox
Location: Bath
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