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Datatonic

Delivery Lead

LondonOnsite · United Kingdom
Staff · FullTime · Technical Delivery
POSTED 16 SEPT
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Role
53 days opentrue age
Posted 16 Sept
Pay
£60k–£120kno pay posted
Market p25–p75
£60k–£120k
London · n=77 · 365d to 6 Nov
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GCP

Delivery Lead

As Google Cloud's premier partner in AI and Data Transformation, we provide world-class businesses with the strategic consulting and technical execution required for cutting-edge data solutions in the cloud. We partner with clients to push the limits of leading technology by combining our expertise in machine learning, data engineering, and analytics. With Google Cloud Platform as our foundation, we help businesses future-proof their solutions, deepen their understanding of consumers, increase competitive advantage, and unlock massive operational efficiencies through data transformation programs.

THE ROLE: Strategic Delivery & Transformation Leadership

As a Delivery Lead, you will leverage your delivery expertise to provide strategic consulting and engagement leadership. You will work closely with the Account Manager and technical/engineering leadership in order to grow our most strategic accounts. You will own the end-to-end success of our most complex, high-value data and AI transformation projects and programmes, from initial solution design and SOW creation through delivery and business value realisation.

This position demands a highly consultative delivery executive with a proven ability to manage complex commercial arrangements, steer multi-stream delivery teams, and maintain C-suite relationships to ensure strategic alignment and customer satisfaction.

Your responsibilities will include:

Consultative Engagement & Account Expansion

Drive strategic alignment of technical delivery roadmaps to client’s strategy focussing on measurable business objectives

Become an expert in one of Datatonic’s core verticals: Telecommunications, Agency, Media & Entertainment, and Financial Services & Insurance

Define large transformation programmes including design of operating models and change management.

Own account health, proactively driving renewals and upselling opportunities to grow the account, identifying and managing key stakeholders, financial forecasts, and strategic risks (RAID management) across the entire portfolio.

Large Programme Execution & Value Realization

Lead the execution of large, complex data and AI transformation programmes (involving multiple concurrent workstreams like Data Engineering, ML/AI, and Analytics), ensuring on-time, on-budget, and high-quality delivery.

Relentlessly focus on maximizing ROI by linking technical deliverables directly to measurable business outcomes and tracking value realisation post-deployment.te

Apply and improve appropriate delivery methodologies (Agile, hybrid, Waterfall) suitable for large enterprise environments, acting as a change agent within the client's organisation.

Take financial ownership of the P&L for our accounts, managing budget, forecasting revenue, tracking resource burn, and driving high margins and profitability.

Executive Stakeholder Management

Manage communications and expectations at the executive and C-suite levels (client-side and internal), maintaining high levels of customer satisfaction and trust.

Design and implement effective project governance systems appropriate for large enterprise engagements.

Requirements

We are looking for a highly motivated, Delivery Lead who meets the following criteria:

Multiple years of experience within a consulting firm, Big Four or Technical Consultancy or software vendor focused on complex enterprise transformation.

Experience managing large-scale data and/or AI transformation programs (million+ dollar scope, multi-year duration, involving 10+ team members).

Proven expertise in the pre-sales and commercial process, including SOW creation, deal structuring, and managing scope through contracts.

Exceptional senior and executive stakeholder management experience, with the ability to communicate complex technical roadmaps into clear business language.

Demonstrated commercial acumen and experience with financial management, forecasting, and P&L tracking for professional services engagements.

Deep understanding of Agile and hybrid ways of working, particularly in the context of enterprise data programs.

Source · DatatonicFirst seen 4 NovOriginal ↗