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- Tasks: Lead the data strategy and ML/AI initiatives to drive innovation and insights.
- Company: Join Alcumus, a forward-thinking company committed to data excellence and inclusivity.
- Benefits: Enjoy hybrid work, generous leave, health plans, and upskilling opportunities.
- Why this job: Be a key player in shaping data practices that impact business outcomes and culture.
- Qualifications: 10+ years in data strategy; degree in Computer Science or related field preferred.
- Other info: We value diverse backgrounds and transferable skills; apply even if you don't meet all criteria.
The predicted salary is between 72000 - 108000 ÂŁ per year.
Join to apply for the Sr. Director/VP, Data & AI Strategy role at Alcumus
Join to apply for the Sr. Director/VP, Data & AI Strategy role at Alcumus
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Description
We are seeking a dynamic and visionary leader to join our team as
Department: Technology & Product
Location: London, 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 strategy—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.
Seniority level
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Seniority level
Executive
Employment type
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Employment type
Full-time
Job function
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Job function
Engineering and Information Technology
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Industries
IT Services and IT Consulting
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Sr. Director/VP, Data & AI Strategy employer: Alcumus
Contact Detail:
Alcumus 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 and ML/AI.
✨Tip Number 2
Familiarise yourself with the specific platforms mentioned in the job description, such as Snowflake and Databricks. Consider taking online courses or certifications to deepen your understanding of these tools, which will demonstrate your commitment and expertise during interviews.
✨Tip Number 3
Prepare to discuss your previous experiences in cross-functional collaboration. Think of specific examples where you successfully aligned data initiatives with other departments, as this role requires strong teamwork and communication skills.
✨Tip Number 4
Stay updated on the latest developments in data governance and AI ethics. Being knowledgeable about these topics will not only help you in interviews but also position you as a forward-thinking candidate who understands the importance of responsible data practices.
We think you need these skills to ace Sr. Director/VP, Data & AI Strategy
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data strategy, analytics, and ML/AI leadership roles. Use specific examples that demonstrate your expertise with platforms like Snowflake and Databricks.
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 and culture of data excellence.
Highlight Leadership Experience: Emphasise your leadership skills and experience in cross-functional collaboration. Provide examples of how you've influenced stakeholders and led teams to achieve measurable outcomes in previous roles.
Showcase Relevant Qualifications: Clearly list your educational background and any advanced degrees, such as a Master's or PhD. Mention any certifications or training related to data science, engineering, or AI that would strengthen your application.
How to prepare for a job interview at Alcumus
✨Showcase Your Vision
As a candidate for a senior leadership 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 leveraged to build scalable data solutions.
✨Prepare for Governance and Stewardship Questions
Expect questions around data governance practices and how you would foster a culture of trusted data stewardship. Think about how you would implement change control and provenance tracking in your previous roles.
