Data Delivery Manager
London, United Kingdom
Keyrus
Keyrus is a global consultancy that specializes in developing innovative data and digital technology solutions for performance management. We help companies like yours get the most value possible from their data while optimizing their digital...The Role:
We are seeking a highly experienced and dynamic Delivery Manager with strong technical data expertise to lead the delivery of complex data integration, management, and analytics projects within our international client base. This role requires a unique blend of deep technical understanding, strong leadership skills, and exceptional stakeholder management capabilities. You will be responsible for the full project lifecycle, from planning and execution to risk management and continuous improvement, ensuring successful delivery within budget and agreed timelines. This includes managing multi-year, enterprise-level data transformation programs. You will also play a key role in coaching and mentoring other project managers.
- Hybrid model: London-based - 3 days per week in Canary Wharf.
- Salary range: 83k to 108K
Responsibilities:
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Lead delivery of complex data projects, including data integration, data management, and analytics initiatives in a global environment. Manage multi-year enterprise data transformation programs.
- Act as a subject matter expert, supporting data product owners and business stakeholders in defining data solutions, product vision, features, and roadmaps.
- Contribute to scoping, prioritization, and managing data solutions and product backlogs, ensuring alignment with program delivery schedules and milestones.
- Data Architecture & Patterns – Understand key data architecture patterns such as data warehouses, data lakes, lakehouses, data mesh, data factory, and data products, along with components like MDM and metadata management.
- Data Solution Design – Be able to apply data integration patterns, target data modelling techniques, data sharing, and use cases.
- BI, AI, and Analytics – Knowledge of BI, dashboarding, machine learning (ML), deep learning, Gen AI concepts, and relevant use cases.
- Data Governance – Understand key data governance patterns, including centralized, decentralized, and self-service models.
- Data Solution Lifecycle – bring the knowledge of scoping, design, delivery, and deployment of data solutions, along with best practices, communication, and documentation.
- Testing & Deployment – Be able to define key concepts for data solutions deployment, testing, and acceptance criteria.
- Cloud & Hybrid Environments: Deliver data solutions in cloud and hybrid environments on at least one major cloud platform.
- Manage stakeholder expectations, including product owners, analysts, architects, managers, and sponsors. Balance priorities and understand client needs.
- Project & Program Planning: Define and manage project and program plans aligned to product backlogs, overall delivery schedules, and key milestones.
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Agile Delivery – Experience in agile data and analytics projects, including Scrum at Scale.
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Project Governance: Establish and manage effective project governance, incorporating both agile delivery and more traditional roadmap governance where applicable.
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Risk Management: Identify, manage, and mitigate project and program risks, including generic and data-specific delivery risks. Proactively remove blockers.
- Oversee delivery teams, workload, and resources, including performance, onboarding, offboarding, and knowledge transfer.
- Manage teams across geographies and time zones.
- Manage project and program budgets effectively.
- Promote best practices and drive continuous improvement in project and program delivery.
- Strong communication skills (written and verbal) to convey project status and updates to stakeholders effectively.
What we're looking for in our applicants:
- Previous experience as Data Engineer, Data Architect, Developer or similar.
- Proven track record of successful delivery in data integration, data management, and analytics projects within international environments.
- Deep technical understanding of data architecture, solution design, and related concepts.
- Extensive experience in senior stakeholder management (including program managers, enterprise architects, business sponsors, etc.).
- Practical experience with Scrum at Scale delivery.
- Certified Scrum Master.
- Experience managing and coaching project delivery managers.
- Experience managing delivery teams across different geographies and time zones.
- Strong analytical and problem-solving skills.
- Excellent communication, interpersonal, and presentation skills.
- Ability to effectively manage resource allocation and performance.
- Experience managing project and program budgets.
- Experience identifying, managing, and mitigating risks in projects and programs.
- Ability to promote best practices and drive continuous improvement.
Good to have:
- Certified Product Owner.
- Background in Financial Services or related industries.
Why Keyrus?
Joining Keyrus means joining a market leader in the Data Intelligence field and an (inter)national player in Management Consultancy and Digital Experience.
You will be part of a young and ever learning enterprise with an established international network of thought leading professionals driven by bridging the gap between innovation and business. You get the opportunity to meet specialised and professional consultants in a multicultural ecosystem.
Keyrus gives you the opportunity to showcase your talents and potential, to build up experience through working with our clients, with the opportunity to grow depending on your capabilities and affinities, in a great working and dynamic atmosphere.
Keyrus UK Benefits:
- Competitive holiday allowance
- Very comprehensive Private Medical Plan
- Flexible working patterns
- Workplace Pension Scheme
- Sodexo Lifestyle Benefits
- Discretionary Bonus Scheme
- Referral Bonus Scheme
- Training & Development via KLX (Keyrus Learning Experience)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Data governance Data management Deep Learning Generative AI Machine Learning Scrum Testing
Perks/benefits: Career development Competitive pay Flex hours Health care Startup environment
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