How the UK's Invest 2035 Strategy Empowers Data Professionals and Business Leaders

Eden Smith • June 25, 2025

With the UK’s   “Invest 2035” modern industrial strategy now live, business leaders and data professionals face both a unique challenge and opportunity. This 10‑year blueprint, reinforced by £22 bn+ in R&D funding and deep energy policy reforms, puts digital transformation, AI, and data-enabled innovation at the centre of national productivity.


For business and data professionals alike, this is a wake-up call to align, adapt, and lead.

In this article we wanted to explore how our community, as data professionals and as business leaders, can respond to elevate their professional careers and lead in business.


Guidance for Data Professionals at Every Stage


Entry-Level (Career Starters)

e.g. recent grads, bootcamp completers, apprentices


Key Advice:

  • Build foundational skills fast: Focus on SQL, Python, Excel, data visualization (Power BI/Tableau), and cloud basics (Azure, AWS).
  • Work on real projects: Freelance, open-source, or personal projects build credibility.
  • Apply even if you’re not 'ready': Hiring is now based more on potential and portfolio.
  • Use new routes: Look at apprenticeships, graduate schemes, NHS Digital, ONS, GDS.
  • Understand your chosen sector: Data needs vary across retail, charities, health, energy.


Junior Professionals (1–3 Years Experience)

e.g. data analysts, junior data scientists/engineers


Key Advice:

  • Sharpen your niche: Decide your path: engineering, ML, BI, or AI ethics.
  • Ask for stretch projects: Innovation sprints, cross-functional teams offer growth.
  • Improve communication: Learn to present your insights clearly.
  • Build your public portfolio: GitHub, blogs & LinkedIn profiles matter.
  • Upskill smartly: Cloud data platforms (e.g. Databricks), domain skills, or AI tools.


Mid-Level Professionals (3–7 Years Experience)

e.g. analytics leads, senior engineers, data scientists


Key Advice:

  • Solve business problems, not just technical ones. Be proactive.
  • Mentor others: Develop leadership and communication – our Nurture Programme is great for adding capability to your team and demonstrating your skills in leadership.
  • Bridge technical and commercial teams. Find ambassadors, solve challenges and win hearts and minds.
  • Build professional networks: Meet people in person and be active in webinars – try Big Data LDN, Women in Data, AI for the Rest of Us, The OR Society.
  • Think like an architect: Scalable systems, governance, model ops.


Senior Data Leaders (8+ Years / Heads of Data, CDOs, etc.)


Key Advice:

  • Use Invest 2035 as a strategic lever: Justify data investments by tying them to productivity and sector growth.
  • Champion ethics & diversity: Stay ahead of privacy, ESG and governance trends.
  • Upskill and reskill internally: Create academies, support apprenticeships and build talent pipelines and succession plans that support diverse teams and cross-skilling.
  • Build influence externally: Speak, publish, sit on boards.
london city scape

What Business Leaders Should Do Now


1. Align Data Strategy with National Priorities
  • Put data at the centre of business strategy: Tie data initiatives to revenue, cost, satisfaction, compliance.
  • Map your data goals to IS‑8 sectors: e.g. predictive maintenance in manufacturing, demand forecasting in energy, creative analytics in media.
  • Frame case studies using industrial strategy language: cost-savings via efficient grid use or exporting AI solutions within clean energy.


2. Invest in Talent to Fuel Innovation
  • Invest in the right roles: Build cross-functional data teams that span ops, product, finance.
  • Create a data-literate culture: Build internal confidence and reduce reliance on specialists. Where using consultancies, make sure you look for a team with a focus on people, knowledge transfer and an exit plan.
  • Recruit for skills and leverage global talent using brighter visa paths.


3. Leverage Regulatory & Financial Tailwinds
  • Exploit energy cost savings from subsidy schemes: reallocate those resources into data infrastructure.
  • Use public procurement reforms to bid for government-backed digital pilots and innovation tenders.


4. Use Regional Clusters & Collaborations
  • Use public-private opportunities: Tap into Innovate UK grants, AI accelerators, and regional data clusters.
  • Build partnerships within regional industrial clusters (e.g., West Yorkshire, Midlands, Scotland).
  • Engage with local councils and devolved bodies to co-design data-driven initiatives aligned with regional growth strategies.


5. Be Data-Aware in Governance & Ethics
  • Establish trust through governance: Compliant, clean, ethical data is a reputational asset and essential for carbon reporting.
  • With heavy R&D and AI focus, establish robust data governance, privacy, and responsible AI frameworks.
  • Engage with the new Industrial Strategy Council and be ready for annual progress monitoring and compliance metrics


6. Create Value Through Metrics & Storytelling
  • Define and track value: Set clear KPIs: time saved, insights delivered, churn reduced and tie to the strategy’s objectives: energy saved, processes optimised, new revenue streams in priority sectors.
  • Frame achievements in narrative form: "X% CO₂ reduction in our clean energy operations", or "AI-driven supply chain cost savings".


In summary


Invest 2035 is more than an economic plan. Professionals must prepare, and leaders must guide - because data maturity will define market leadership in the years ahead.


Business leaders must embed data at the core of innovation, finance, and operational decision-making to ride the Invest 2035 wave.


Data professionals should seize new talent pipelines, grand-challenge funding, and cross-sector collaborations to show measurable impact. Together, this alignment will bolster competitiveness - not just for individual firms, but for the UK as a data-powered, industrially resurgent nation.

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