At a Glance
- Tasks: Lead 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 relevant field; strong leadership skills required.
- 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 Β£ per year.
Sr. Director/VP, Data & AI Strategy
Department: Technology & Product
Employment Type: Permanent
Location: Cardiff, 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:
β Architect a unified and scalable enterprise data platform supporting structured and unstructured data.
β Build a modern Data Lakehouse/Warehouse as a single source of truth.
β Implement reporting and dashboarding solutions that empower internal teams and customers.
β Ensure platform reliability, observability, and security.
β Promote reusable, curated datasets and self-service analytics across teams.
β Collaborate with BI, Engineering, and business stakeholders to enhance analytics delivery.
β Leverage cloud platforms and modern pipeline tooling (e.g., Snowflake, Databricks, Azure, AWS).
ML/AI Strategy & Execution:
β Lead the design and deployment of scalable ML/AI capabilities on top of the data infrastructure to enhance our applications and business processes.
β Deliver high-impact initiatives such as predictive modeling, advanced analytics, and intelligent automation.
β Collaborate with Product and Engineering to embed ML/AI into core application features and workflows.
β Establish success metrics and a governance model for AI deployments.
Data Strategy & Governance:
β Define and execute a modern, enterprise-wide data strategy aligned with business objectives.
β Foster a culture of trusted data stewardship, literacy, and transparency.
β Establish data governance practices including change control, provenance tracking, and auditability.
β Build and evolve a robust data integration, reporting, and analytics platform using a Data Lakehouse, Warehouse, or Data Mart architecture.
Cross-Functional Collaboration:
β Align data initiatives with Product, Engineering, and Operations roadmaps.
β Act as a unifying force across departments to eliminate silos and improve insight delivery.
β Lead enterprise reporting initiatives, benchmarking, and data-driven transformation.
β Ensure measurable outcomes from all data and analytics programs.
What you\βll need to be successful
Required Qualifications:
β Degree educated in Computer Science, Data Science, Engineering, or related field; Master\βs/PhD preferred.
β 10+ years in data strategy, analytics, or ML/AI leadership roles.
β Proven experience with platforms like Snowflake, Databricks, Microsoft Fabric, etc.
β Deep expertise in data architecture, pipeline orchestration, and real-time analytics.
β Ability to influence executive stakeholders and communicate complex ideas clearly.
β Strong leadership and organizational change skills.
Preferred Qualifications:
β Experience in high-growth or private equity-backed environments.
β Familiarity with SaaS, compliance, or workforce management platforms.
What you\βll 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 β an extra day to give back to yourself or your community
> Cycle-to-work Scheme
Future Planning
>Pension scheme with employer contributions
> Life Assurance β 3X base salary
> Rewards Program β access to discounts and cashback
> LinkedIn Learning License for upskilling & development
Interested but don\βt 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\βll be working with closely in the role
We\βre 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. #J-18808-Ljbffr
Sr. Director/VP, Data & AI Strategy employer: Alcumus
Contact Detail:
Alcumus Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Sr. Director/VP, Data & AI Strategy
β¨Tip Number 1
Familiarise yourself with the latest trends in data strategy and ML/AI. Being able to discuss current innovations and how they can be applied at StudySmarter will show your passion and expertise during interviews.
β¨Tip Number 2
Network with professionals in the data and AI field, especially those who have experience in leadership roles. Engaging with industry leaders can provide insights into what we value at StudySmarter and may even lead to referrals.
β¨Tip Number 3
Prepare to discuss your experience with specific platforms like Snowflake and Databricks. Highlighting your hands-on experience with these tools will demonstrate your capability to lead our data initiatives effectively.
β¨Tip Number 4
Showcase your leadership skills by preparing examples of how you've successfully led cross-functional teams in the past. We value collaboration, so illustrating your ability to unify different departments will set you apart.
We think you need these skills to ace Sr. Director/VP, Data & AI Strategy
Some tips for your application π«‘
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 influence stakeholders and lead cross-functional teams.
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.
Showcase Leadership Skills: Emphasise your leadership and organisational change skills in both your CV and cover letter. Provide examples of how you've successfully led teams or initiatives in previous roles, particularly in high-growth environments.
Highlight Relevant Qualifications: Clearly state 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 make you a strong candidate for this role.
How to prepare for a job interview at Alcumus
β¨Showcase Your Leadership Experience
As a candidate for a senior role, it's crucial to highlight your leadership experience. Prepare specific examples of how you've led teams in data strategy or ML/AI projects, focusing on measurable outcomes and the impact of your decisions.
β¨Demonstrate Cross-Functional Collaboration
This role requires collaboration across various departments. Be ready to discuss instances where you've successfully worked with Product, Engineering, and Operations teams. Emphasise your ability to break down silos and drive insight delivery.
β¨Familiarise Yourself with Relevant Technologies
Given the emphasis on platforms like Snowflake and Databricks, ensure you can speak confidently about your experience with these tools. Discuss how you've leveraged them in past roles to enhance data architecture and analytics.
β¨Prepare for Strategic Questions
Expect questions about your vision for data strategy and governance. Think about how you would align data initiatives with business objectives and foster a culture of data excellence. Articulate your thoughts clearly and confidently.