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Deployment Strategy Director

WovenLight

Lever
Location
London, Not specified
Type
Full-time
Salary
Salary not specified
Posted
20 Mar 2026
ABOUT WOVENLIGHT WovenLight is an engineering-led investment house. We use data and AI to complement the traditional private equity toolkit, identifying and executing value creation opportunities that would not otherwise be available. We partner with top-tier private equity sponsors ("Partner GPs") on control buyouts across Europe and North America, investing alongside them and playing a key role in shaping the investment thesis of each deal. As a complementary, non-competing consortium partner, we own the AI and data-driven transformation at our portfolio companies end to end: diagnostics, building, deployment and the transfer of capabilities, all run on Dragonfly OS, our proprietary AI operating system. Our team of around 40 spans Investment, Deployment and Engineering (forward deployed engineers with data science, ML, data engineering and software skills), led by Partners with deep experience across advisory and deployment, private equity investment, and applied engineering. These teams work together to identify the value plays that matter most for each company, execute them rigorously to deliver measurable EBITDA impact, and build long-term strategic value by embedding lasting
ABOUT WOVENLIGHT WovenLight is an engineering-led investment house. We use data and AI to complement the traditional private equity toolkit, identifying and executing value creation opportunities that would not otherwise be available. We partner with top-tier private equity sponsors ("Partner GPs") on control buyouts across Europe and North America, investing alongside them and playing a key role in shaping the investment thesis of each deal. As a complementary, non-competing consortium partner, we own the AI and data-driven transformation at our portfolio companies end to end: diagnostics, building, deployment and the transfer of capabilities, all run on Dragonfly OS, our proprietary AI operating system. Our team of around 40 spans Investment, Deployment and Engineering (forward deployed engineers with data science, ML, data engineering and software skills), led by Partners with deep experience across advisory and deployment, private equity investment, and applied engineering. These teams work together to identify the value plays that matter most for each company, execute them rigorously to deliver measurable EBITDA impact, and build long-term strategic value by embedding lasting AI capability in the businesses we back. The Role Deployment Strategy Directors are senior leaders who bring deep commercial expertise, a strong personal brand, and the experience to act as a trusted advisor to both PE partners and portfolio company leadership. You will hold oversight across multiple WovenLight projects simultaneously, shaping how we engage across our target sectors and building the relationships and reputation that support our continued growth. Deployment Strategy Directors lead on: Providing oversight and strategic direction across multiple diagnostic and deployment projects, acting as the escalation point for complex delivery, risk, or stakeholder issues Owning senior relationships with GP partners and portfolio company C-suite, guiding strategic and operational decisions — especially on how to build lasting and sustainable AI and data capabilities Challenging and refining project direction to ensure alignment with each GP's value creation priorities and the specific commercial dynamics of the business Driving value attribution across projects, GPs, and portfolio — ensuring the link between WovenLight's work and enterprise value is clearly demonstrated Leading external eminence for WovenLight — speaking engagements, publications, and LP/GP showcases Actively leading business development, cultivating relationships with PE firms, and contributing to proposals and deal origination Coaching and developing Deployment Strategy talent and building future leaders of the function Coordinating investment, pipeline, and people strategy with Applied Engineering and Investment function leads We invest across a range of sectors — with current focus on Services, Industrials, Healthcare, and Consumer & Sports. Candidates with deep domain expertise in one or more of these areas, and an existing network within relevant PE or industry ecosystems, will be particularly well positioned. What We're Looking For Business Leadership & Stakeholder Management Proven experience (7+ years) leading or overseeing commercial transformations, with a track record of driving adoption of new technologies and processes at scale Established relationships with C-suite and board-level stakeholders, with the ability to guide complex strategic and operational decisions Experience working alongside or advising PE firms, with a strong understanding of how investment theses are formed, tested, and realised Ability to build and deepen relationships with top-tier GPs by demonstrating execution excellence, operational empathy, and clarity of impact Commercial & Financial Acumen Strong commercial understanding spanning multiple industries and value chain functions, with the ability to identify, articulate, and attribute value creation opportunities at a portfolio level Deep familiarity with PE deal dynamics — including deal structuring, EBITDA drivers, and exit positioning Track record of positioning AI and data science as a strategic value creation lever, not a cost centre Domain experience in one or more of our target sectors — Services, Industrials, Healthcare, or Consumer & Sports — and ideally an existing network within relevant PE or industry ecosystems Technical (ML, AI, Software Development) Understanding This is not a hands-on technical role, but Deployment Strategy Directors must have a strong, practical understanding of key AI and ML concepts — enough to guide technical teams, evaluate opportunities, and ensure business impact. As part of our selection process, we will expect candidates to be able to answer questions such as: What is meant by a "data pipeline"? What's the difference between a Data Engineer and a Data Scientist in the context of an ML development and deployment workflow? What is meant by "overfitting" in a model? What is a "feature" in machine learning? What is feature engineering? What is an A/B test used for in analytics or ML? How does a generative AI project using a pre-trained model differ from a traditional ML project? Why might a technically excellent ML model still fail to deliver business impact? Candidates must live and have the right to work in the UK for this role. We operate a hybrid working model with a 3:2 split (office working vs home working). Please note: We are not seeking new agency relationships at this time. OTHER INFORMATION Our core team is based in London. Interviews for this role will be conducted via a combination of phone, video-conference and in person. WovenLight is committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation, gender identity or any other basis as protected by applicable law. Please note we are not seeking agency support in relation to this role at this time.