Overview

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.

Department: Technology & Product

Location: London, UK

Responsibilities

• 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; ensure platform reliability, observability, and security; promote reusable datasets and self-service analytics; collaborate with BI, Engineering, and stakeholders; leverage cloud platforms and modern pipeline tooling (e.g., Snowflake, Databricks, Azure, AWS).
• ML/AI Strategy & Execution: Lead design and deployment of scalable ML/AI capabilities on top of the data infrastructure; deliver high-impact initiatives such as predictive modeling, advanced analytics, and intelligent automation; embed ML/AI into core application features; 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 trusted data stewardship, literacy, and transparency; establish data governance practices including change control, provenance tracking, and auditability; build and evolve data integration, reporting, and analytics platforms.
• Cross-Functional Collaboration: Align data initiatives with Product, Engineering, and Operations roadmaps; eliminate silos and improve insight delivery; lead enterprise reporting initiatives, benchmarking, and data-driven transformation; ensure measurable outcomes from data and analytics programs.

Qualifications

• Required: Degree 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: 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 emphasize providing many ways to support our team to do their best work and offer the following perks and benefits:

• Personal Health & Wellbeing / Benefits: Enhanced Parental Leave; Generous annual leave; Healthcare Plan; Annual Giving Day; Cycle-to-work Scheme.
• Future Planning: Pension scheme with employer contributions; Life Assurance – 3X base salary; Rewards Program – discounts and cashback; LinkedIn Learning License for upskilling & development.

Inclusion & Recruitment

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 in an inclusive environment where everyone feels safe and empowered to be themselves.

What you can expect if you apply

Response to application within 15 working days. Interview process includes:

1. Initial discovery call with the recruiter
2. First-stage interview via Microsoft Teams
3. Additional interview with stakeholders you’ll be working with closely (likely face to face)

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 and Employment

• Seniority level: Executive
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: IT Services and IT Consulting