Steneg
AI Transformation Lead
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Job Title
Our client is a leading investment firm partnering with ambitious companies and management teams across technology-driven and high-growth markets. The organization combines investment expertise with a strong understanding of technology, innovation, and the strategic levers that enable businesses to grow, transform, and create long-term value.
Its activities involve close collaboration with investment professionals, portfolio companies, senior management teams, and the broader technology ecosystem. As artificial intelligence increasingly reshapes business models, operations, and competitive dynamics, the firm is looking to develop a differentiated AI capability across both its investment activities and portfolio, helping identify high-impact opportunities and accelerate the practical adoption of AI across its companies.
Mission
The AI Transformation Lead will be responsible for defining and driving the firm's AI transformation agenda across internal operations and portfolio companies. The role will identify high-impact opportunities, translate business challenges into actionable AI initiatives, and work directly with leadership teams to move from experimentation to implementation and measurable business outcomes.
Responsibilities
AI Strategy and Opportunity Identification
- Define and continuously evolve the AI transformation roadmap across the investment firm and its portfolio companies.
- Identify and prioritize AI opportunities across commercial, operational, financial, and corporate functions based on potential business impact and implementation feasibility.
- Translate developments in AI, automation, and agentic systems into practical use cases relevant to different companies, functions, and operating environments.
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Transformation and Execution
- Lead AI initiatives from initial opportunity assessment and business case development through experimentation, implementation, and adoption.
- Structure pilots and proof-of-concept programs with clear objectives, success metrics, ownership, and pathways to scale.
- Work with portfolio leadership teams to redesign workflows and operating processes around new AI-enabled capabilities.
Portfolio and Stakeholder Engagement
- Partner with CEOs, functional executives, investment teams, and technology leaders to identify transformation priorities and build alignment around AI initiatives.
- Act as a trusted advisor to portfolio companies on AI adoption, helping leadership teams distinguish high-value applications from lower-impact experimentation.
- Facilitate knowledge sharing and reuse of successful approaches, technologies, and implementation patterns across the portfolio.
AI Ecosystem and Capability Building
- Evaluate AI platforms, tools, technology providers, and implementation partners relevant to the firm's transformation agenda.
- Develop relationships with the broader AI ecosystem to provide portfolio companies with access to relevant technologies, expertise, and best practices.
- Build practical frameworks, playbooks, and governance mechanisms that enable teams to adopt AI effectively while managing implementation, data, security, and organizational risks.
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Required Qualifications
- Significant professional experience across technology transformation, AI strategy, digital transformation, technology consulting, product, or related operating roles.
- Demonstrated experience translating business problems into technology-enabled initiatives with measurable operational or financial outcomes.
- Strong understanding of modern AI technologies, including generative AI, large language models, automation, and emerging agentic systems.
- Proven ability to lead complex cross-functional transformation initiatives from strategy through execution.
- Experience working directly with senior executives and influencing stakeholders without relying on direct organizational authority.
- Strong commercial judgment and ability to prioritize initiatives based on value creation, feasibility, and strategic relevance.
- Excellent communication skills and ability to translate complex technical concepts into clear business implications.
Preferred Experience
- Experience within venture capital, private equity, growth equity, management consulting, or a portfolio value-creation environment.
- Experience implementing AI initiatives across multiple companies, business units, or functional domains.
- Hands-on familiarity with AI products, automation platforms, prototyping tools, or data and software environments.
- Experience developing AI operating models, adoption programs, governance frameworks, or enterprise-wide transformation initiatives.
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