At a Glance
- Tasks: Lead transformative data and AI programmes, ensuring quality delivery and client satisfaction.
- Company: Dynamic consulting firm focused on innovative data solutions.
- Benefits: Competitive salary, rewarding benefits, and opportunities for professional growth.
- Other info: Join a collaborative environment with mentorship and thought leadership opportunities.
- Why this job: Make a real impact by bridging business strategy with cutting-edge data technology.
- Qualifications: 10+ years in data programmes, strong stakeholder management, and commercial acumen.
The predicted salary is between 70000 - 90000 £ per year.
As a Data Delivery Owner, you will lead large-scale, strategic data and AI transformation programmes, bridging business strategy and technical execution to deliver measurable outcomes. You will act as a trusted advisor to executives and delivery teams, combining programme leadership, commercial acumen, and deep data expertise.
What will you do?
- Lead large-scale data and AI transformation programmes, managing scope, timelines, budgets, risks, and resources.
- Oversee a portfolio of concurrent engagements, accountable for delivery quality, margin, and client satisfaction.
- Drive organisational change through data delivery.
- Delivery & Solution Ownership
- Own delivery across complex, multi-capability engagements.
- Partner with Solution Architects and workstream leads to define scalable solutions.
- Manage vendors and technology partners.
- Stakeholder Engagement & Client Advisory
- Act as liaison between business and technical teams.
- Advise C-suite stakeholders on data strategy and transformation roadmaps.
- Build lasting client relationships.
- Support strategic data pursuits and large engagements.
- Ensure seamless transition from sales to delivery.
- Develop proposals and statements of work.
- Coach teams on agile delivery practices.
- Enable teams to deliver with pace and quality.
- Practice Development & Thought Leadership
- Build and scale data delivery capability and frameworks.
- Mentor and develop Data Delivery Owners.
- Contribute to thought leadership externally.
What you'll bring
- 10+ years delivering large-scale data programmes in consulting.
- Ability to influence C-suite stakeholders.
- Strong knowledge of modern data platforms and architecture.
- Strong commercial acumen and pursuit experience.
- Excellent communication and stakeholder management.
- Experience managing vendors and partners.
Success Metrics
- Delivery quality, margin, and client satisfaction.
- Contribution to pursuit wins and proposals.
- Utilisation aligned to expectations.
- Adoption of delivery methodologies and accelerators.
- Growth of delivery team capability.
Benefits
We offer competitive, fair, and rewarding compensation and benefits.
Senior Data Delivery & AI Transformation Leader in London employer: Slalom Build
As a Senior Data Delivery & AI Transformation Leader, you will thrive in a dynamic work culture that prioritises innovation and collaboration. Our commitment to employee growth is evident through mentorship opportunities and a focus on agile delivery practices, ensuring you can develop your skills while making a significant impact on large-scale data transformation programmes. Located in a vibrant area, we offer competitive compensation and a supportive environment that values your contributions and fosters lasting client relationships.
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We think this is how you could land Senior Data Delivery & AI Transformation Leader in London
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We think you need these skills to ace Senior Data Delivery & AI Transformation Leader in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
