AI Deployment Lead - Financial Services

Overview

About The Role

Key Responsibilities

• Define & Prioritize Features: Partner with financial services clients and PE sponsors to identify high-impact problems across the investment lifecycle (diligence, portfolio operations, risk, and reporting) and define AI-driven product features to address them.
• Translate Business Needs: Convert customer requirements, investment theses, and operational pain points into clear technical specifications and use cases for internal data science and engineering teams.
• Support AI Diligence & Value Creation: Contribute to deep-dive assessments of target companies' AI strategies, data infrastructure, and technical maturity. Help shape value creation plans that connect AI capabilities to commercial outcomes within sponsor-backed assets.
• Lead Agile Delivery: Oversee agile sprints and deployment timelines, ensuring timely, high-quality, and audit-ready solution delivery in regulated financial environments.
• Bridge Strategy & Technology: Translate complex AI/ML capabilities into actionable recommendations for investment committees, portfolio executives, and senior client stakeholders.
• Drive Adoption: Travel regionally to engage with users, onboard stakeholders across deal teams and portfolio companies, and gather direct feedback to drive continuous improvement.
• Collaborate Cross-Functionally: Serve as the bridge between customers and internal teams including data scientists, engineers, and product leads.
• Act as Customer Champion: Build trusted relationships with senior financial sponsors, investors, and operating executives, ensuring the long-term success of deployed solutions.

Experience

• 2-4+ years of professional experience with meaningful exposure to both AI/ML and financial services (banking, asset management, private equity, or fintech).
• Background in top-tier consulting (McKinsey, Bain, BCG), private equity, investment banking, AI/product companies (e.g., Palantir, Google, Amazon), or technical roles at financial institutions preferred.
• Experience contributing to diligence processes, strategic analysis, technical evaluations, or enterprise AI deployments.
• Startup or high-growth operating experience a plus; comfort with ambiguity and moving fast.

Technical Fluency

• Strong technical literacy in AI/ML, with the ability to evaluate data pipelines, model strategies, and infrastructure at a high level.
• Ability to discuss and assess technical trade-offs with engineering teams and translate them for non-technical investment and business audiences.
• Familiarity with financial data, workflows, and the regulatory considerations relevant to deploying AI in financial services is a strong plus.

Communication & Relationship Skills

• Executive-level communication; proven ability to influence senior sponsors, investors, portfolio executives, and enterprise clients.
• Excellent written and verbal communication, including the ability to simplify technical details for non-technical audiences and craft compelling strategic narratives.

Execution & Ownership

• Low-ego, hands-on operator who thrives in ambiguous, fast-paced environments.
• Commercial instinct and ownership mindset — capable of connecting AI opportunities directly to value creation and investment returns.
• Experience managing agile product or project delivery cycles end-to-end.

Mobility

• Based in Abu Dhabi or Doha (or willing to relocate).
• Willingness to travel within the region to meet customers, sponsors, and portfolio companies and oversee deployments on-site.

Why Join

• Us?
• Work on transformative AI projects with high-impact financial services clients, sovereign investors, and PE sponsors.
• Sit at the intersection of capital, strategy, and applied machine learning.
• Join a collaborative, mission-driven team at the forefront of productionizing AI.
• Operate in a fast-paced, agile environment with real-world commercial outcomes.