At a Glance
- Tasks: Lead complex data projects from discovery to deployment, ensuring high-quality delivery.
- Company: Join Lumilinks Group Ltd, a fast-growing data technology company.
- Benefits: Collaborative environment, skill expansion opportunities, and autonomy in your role.
- Other info: Mentor team members and contribute to improving delivery frameworks.
- Why this job: Shape cutting-edge data platforms and make a real impact for high-growth clients.
- Qualifications: 5+ years in technical delivery, strong client management, and agile proficiency.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Senior Project Manager role at Lumilinks Group Ltd. Lumilinks is a fast-growing data technology company that designs, builds, and operates modern data platforms for organisations that want to turn fragmented information into actionable intelligence. Our mission is simple: help businesses unlock the full value of their data through scalable infrastructure, intelligent data products, and seamless operational delivery.
As demand for our platform and services accelerates, we are expanding our delivery team with a Senior Project Manager who can lead complex engagements, elevate our client relationships, and deliver outstanding execution. As a Senior Project Manager at Lumilinks, you will own the delivery of multi-disciplinary data programmes - from initial discovery through to deployment and ongoing optimisation. You will work closely with data engineers, data scientists, product teams, and client stakeholders to ensure we deliver high‑quality solutions that meet commercial, technical, and strategic objectives. This role is ideal for someone who combines technical fluency with strong delivery discipline and the ability to build trusted, long‑term client relationships.
Key Responsibilities
- Delivery Excellence: Lead end‑to‑end delivery of data warehousing, data platform, and data product projects. Build detailed delivery plans, manage scope, track progress, and maintain transparent reporting. Drive structured, repeatable delivery processes across agile and iterative workstreams. Identify risks, manage dependencies, and proactively remove blockers. Set standards across the project management team and lead by example.
- Technical Leadership: An understanding of modern data architectures and the technologies we use (cloud data warehouses, ELT pipelines, data modelling, governance frameworks). Translate client requirements into clear technical workstreams and engineering tasks. Interrogate proposed solutions and support the design of scalable, high‑quality data products. Facilitate alignment between engineering, product, and client stakeholders.
- Client & Account Management: Act as the primary point of contact for client delivery, ensuring clarity, trust, and proactive communication. Lead client ceremonies, updates, and steering sessions. Understand client context and objectives; shape how Lumilinks delivers ongoing value. Support account growth by identifying new opportunities and future phases of work.
- Commercial Stewardship: Manage project budgets, resourcing, and commercial commitments. Maintain rigorous change control and protect both client value and Lumilinks’ margins. Ensure all delivery outputs align with contracted scope and commercial expectations.
- Cross‑Functional Leadership: Work closely with engineering, analytics, and product teams to align on priorities and sequencing. Mentor other delivery team members and contribute to improving Lumilinks’ delivery frameworks. Help mature internal processes, templates, and tooling as Lumilinks scales.
Skills & Experience Required
- 5+ years leading technical delivery – ideally within data platforms, analytics, or cloud engineering environments.
- An understanding of cloud data ecosystems (e.g. Snowflake, BigQuery, Redshift, Databricks).
- Proven experience delivering complex data warehouse or data product projects.
- Exceptional client‑facing and reporting skills, and experience managing multi‑stakeholder accounts.
- Strong commercial awareness and responsibility for budgets, scope, and forecasting.
- Proficiency with agile tools and methodologies (Jira).
Nice to Have
- Experience in consultancy, scale‑up, or fast‑paced service environment.
- Knowledge of data governance, data quality, and metadata management.
- Relevant certifications (Agile, Scrum Master, PRINCE2).
What You’ll Get at Lumilinks
- The chance to shape and deliver cutting‑edge data platforms for high‑growth clients.
- A collaborative, supportive environment with autonomy and influence.
- Opportunities to expand your skills across engineering, product, and commercial domains by working with talented and like‑minded people.
- A team that values curiosity, pragmatism, and outcomes over process.
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Information Technology and Project Management
Industries: Software Development
Senior Project Manager employer: Lumilinks Group Ltd
At Lumilinks Group Ltd, we pride ourselves on being a dynamic employer that fosters a collaborative and innovative work culture. As a Senior Project Manager, you will have the opportunity to lead cutting-edge data projects while working alongside talented professionals in a supportive environment that values autonomy and personal growth. With a focus on delivering real business outcomes, we offer ample opportunities for skill expansion across various domains, making Lumilinks an excellent choice for those seeking meaningful and rewarding employment in the data technology sector.
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We think this is how you could land Senior Project Manager
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We think you need these skills to ace Senior Project Manager
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.
