Data & Digital Lead - Infrata in London

Data & Digital Lead - Infrata in London

London Full-Time 44550 - 54450 £ / year (est.) Home office (partial)
dss+

At a Glance

  • Tasks: Lead the transformation of data into a structured knowledge base for impactful infrastructure projects.
  • Company: Join Infrata, a leading infrastructure advisory firm with a collaborative culture.
  • Benefits: Enjoy competitive pay, flexible working, and professional development opportunities.
  • Other info: Be part of a diverse team making a real difference in global infrastructure.
  • Why this job: Shape the future of infrastructure with cutting-edge data solutions and technologies.
  • Qualifications: Experience in data engineering and knowledge management, ideally in professional services.

The predicted salary is between 44550 - 54450 £ per year.

About Infrata

Infrata, part of dss+, is a specialist infrastructure advisory business supporting public and private sector clients on complex, high-impact investments. Working with governments, infrastructure owners, investors, lenders, and developers, we help clients make better strategic decisions across transport, energy, digital infrastructure, water, and the energy transition. Combining deep sector expertise with commercial insight, Infrata helps shape the infrastructure that powers economies and communities around the world.

Why This Role

This newly created role will lead the transformation of Infrata's project intelligence asset from an archive into a structured, governed, and searchable knowledge base — the foundation for how Infrata delivers, prices, and differentiates its advisory work in the decade ahead. You will own the data foundations, steward Infrata's proprietary analytical tools, and lead the responsible evaluation and adoption of new technologies — working closely with senior leadership, delivery teams, and dss+ group digital functions.

Your Impact at Infrata

You will turn Infrata's institutional knowledge into a durable competitive advantage — improving the speed, consistency, and depth of client delivery while safeguarding the confidentiality and integrity on which the firm's reputation depends.

Key Accountabilities

  • Design and lead the structuring of Infrata's project archive into a curated precedent and knowledge library, including taxonomy, metadata standards, and quality assurance processes.
  • Establish and enforce data governance for the knowledge base: confidentiality classification, client consent and reliance restrictions, retention, and access controls, working with legal and compliance advisers.
  • Steward and develop Infrata's proprietary analytical tools, ensuring they are maintained, documented, and consistently applied across engagements.
  • Build the data pipelines and retrieval infrastructure needed to make structured knowledge available to delivery teams at the point of use.
  • Evaluate, scope, and lead pilots of new technologies — including AI-assisted document review and drafting — within group-approved platforms, licensing, and information security policies.
  • Define success measures for technology pilots and translate proven pilots into standard delivery practice, including training and adoption support for consulting teams.
  • Collaborate with dss+ group IT, information security, and digital platform teams to align Infrata's data and tooling roadmap with group architecture and procurement.
  • Advise Infrata leadership on the data and technology implications of new service development, ensuring analytical outputs remain expert-led and subject to professional review.

Who You Are

You are a hands-on data practitioner with strong engineering fundamentals and sound judgement about governance, confidentiality, and the practical limits of technology in a professional services environment.

Experience

  • Significant experience in data engineering, knowledge management, or applied data roles — ideally within professional services, engineering consultancy, financial services, or another document-intensive, regulated environment.
  • Proven track record structuring large volumes of unstructured content (reports, models, technical documents) into governed, searchable knowledge assets.
  • Hands-on experience with modern data tooling: Python or similar, document processing, search and retrieval systems, and cloud data platforms.
  • Practical experience deploying or piloting large language model and AI-assisted workflows in a governed corporate setting, including prompt design, evaluation, and human-in-the-loop review.
  • Experience working with information security, legal, and compliance stakeholders on data classification, confidentiality, and acceptable-use frameworks.

Capabilities

  • Strong data architecture and pipeline design capability, with a pragmatic, delivery-first mindset.
  • Rigorous approach to data governance, confidentiality, and quality assurance.
  • Ability to translate between technical teams, consultants, and senior leadership — and to drive adoption, not just build systems.
  • Sound judgement on where automation adds value and where expert human review must remain in control.
  • Self-starting and comfortable operating without an established data function around you.

Education & Languages

  • Degree in Computer Science, Data Science, Engineering, Mathematics, or a related discipline, or equivalent demonstrable experience.
  • Fluency in English required; additional languages advantageous.

Mobility

Occasional travel to dss+ offices and client locations as required.

Growth & Benefits

We invest in your development and success through:

  • A rare greenfield mandate over a genuinely differentiated dataset.
  • Exposure to globally significant infrastructure programmes and clients.
  • Professional development and training support.
  • Competitive compensation and performance incentives.
  • Flexible working policies.

What You'll Experience at dss+

Deliver on our Purpose. Be part of a values-led organisation where your work helps organisations make better infrastructure decisions that improve economic resilience, sustainability, and long-term societal outcomes.

Develop your Trusted Expertise. Work with a unique dataset spanning thirty years of global infrastructure transactions, alongside sector experts advising on some of the most significant infrastructure programmes worldwide.

Thrive in a Culture of Respect. Join an inclusive and collaborative environment where expertise, innovation, and entrepreneurial thinking are valued and encouraged.

Shape your Career. Build a new capability from the ground up, with visibility to senior leadership across Infrata and the wider dss+ group.

A Bit More About Us

We are implementers and change-makers. Across dss+, our teams work alongside organisations to solve complex operational, strategic, and sustainability challenges that create lasting impact. Within Infrata, we combine infrastructure expertise with strategic advisory capabilities to support investment decisions, infrastructure planning, and market development — helping clients navigate complexity and deliver long-term value.

Diversity & Inclusion

dss+ is committed to building a diverse workforce and fostering an inclusive culture where everyone is respected, valued, and able to contribute fully. We believe diversity strengthens our organisation and drives better outcomes for our people, our clients, and the communities we serve.

Details

Hybrid London, Greater London, United Kingdom Infrastructure Consulting

Data & Digital Lead - Infrata in London employer: dss+

At dss+, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through tailored development programmes and the opportunity to lead impactful projects in the UK, making a real difference in client transformation. Join us to be part of a forward-thinking team that values your contributions and supports your professional journey.

dss+

Contact Details:

dss+ Recruitment Team

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We think you need these skills to ace Data & Digital Lead - Infrata in London

Data Engineering
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Data Pipeline Design
AI-assisted Workflows
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