AI Strategy for Business & Align with Enterprise Strategy, Global Services - Director
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Job description
Citi is building the foundational AI infrastructure that will power thousands of products, teams, and client interactions across a global financial institution. We are seeking an exceptional Director-level AI leader to define, build, and scale the enterprise-wide AI strategy, and influence with enterprise strategy. Work with every business line to innovate with AI - safely, efficiently, and at scale.
This is an experienced individual in AI Strategist, platform-mindset, enterprise-scale role. You are not building one product for one client. You are directing the factory, the standards, and the what to build and where to take the organization towards that enables hundreds of product teams to build the right AI products in the right way. Your primary customer is the internal developer and product manager, and your success is measured by their adoption, velocity, and the reusability of your platform capabilities.
What Makes This Role Distinct
Unlike a business-embedded product role, this position is defined by:
- A horizontal, enterprise-wide mandate and Strategy- your strategy serves all business lines, not one
- Deep technical and architectural fluency in AI usage and AI platforms- you can work with all lines of business -Payments, Trade, Custody, Funds, Issuer, Liquidity, understand what market is doing, what competition is doing. Understand client needs, client problems. Then write a AI strategy for Services Business that drives growth, client experience and operational efficiency
- A focus on research, competitive edge, technology forefront - writing the at par strategy with market and competitors
- The challenge of influencing without authority - persuading dozens of independent teams to adopt centralized tools and processes, Define and Drive AI Strategy for Services Business
- Define and execute the enterprise AI strategy and roadmap - shaping the future execution path for core capabilities, business use case implementation and alignment with Enterprise Strategy, that drives business growth, client demand execution and drives key KPIs for Services business, the core platform strategy, and enterprise AI standards
- Work with cluster and country teams, drive the strategy wide and deep, define cluster, country, regulatory, client adoption and revenue generation using AI KPIs, track and drive the KPIs at product, business, cluster and country level
- Report the strategy adoption KPIs and metrics to Governance team and enterprise team, AI command Center portals
- Create Presentations, narrative, and present at various forums, town halls and regulatory reviews
Platform Oversight in line with Strategy, Enterprise alignment
- Oversee that platform design and capabilities that it is in alignment with the Strategy you write and pursue adoption across firm. Build once and reuse
- Manage communication and clear roadmap to a wide array of business, country, cluster and enterprise stakeholders
- Ensure alignment with cluster and country regulations.
- Partner with Risk, Compliance, Model Risk, and Architecture to ensure Strategy is line with policies and regulations
- Establish presentations, playbooks, and input into governance frameworks and help move ideas into execution and are aligned to strategy.
- Serve as the firm-wide Services AI strategy and platform evangelist - inspiring business lines to build on the platform and demonstrating the value of reuse, input into centralized AI capabilities and oversee adoption
- Have experience to know when to build vs use vendor solution or vendor partnership.
Cross-Team Leadership
- Work and influence cross-business and enterprise partnerships, collaboration, work with technical and architecture teams.
- Research, across markets, competitors
- Navigate a complex matrixed organization - influencing dozens of teams and stakeholders to write and adopt Services AI Strategy., * Successful Strategy that resonates with Business and enterprise teams
- KPIs adoption - Defined KPIs are contributing to different business OKRs, well understood by teams including cluster and country KPIs.
- Reusability - Strategy and capabilities are adopted across business, enterprise and capabilities are central enough for other business than Services can also use it
- Oversight from use case discovery to production deployment, in line with Strategy and are mapping to OKRs and KPIs
- Client Satisfaction KPIs, Business growth KPIs, Use case implementation KPIs, Regulatory management and reporting KPIs, Presentation material creation for Senior management, executive presentation in Townhall, MBR, QBR KPIs
- -, We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate’s skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
Illinois residents - AI Notice and Right (https://tbcdn.talentbrew.com/company/287/cms/v3/docs/policies/Illinois_Career_Supplement_a11y.pdf)
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Requirements
- 12+ years of product management, platform strategy, or enterprise technology leadership, with demonstrated experience delivering complex, enterprise-scale platforms
- Proven experience defining and implementing AI, GenAI, or Agentic AI solutions, including translating business problems into scalable, reusable platform capabilities
- Deep understanding of AI concepts - definition, where AI is better used vs just technical development, orchestration, agentic, workflow automation, human-in-the-loop.
- Preferred platform and vendor solution knowledge on LLMs and SLMs- Cloud solutions, APIs, cloud-native architectures, reusable platform services, vendor solutions
- Demonstrated history of creating and enforcing and driving an AI, ML strategy
- Outstanding stakeholder management and executive communication skills
- Ability to influence product, technology, engineering, operations, risk, and senior business leaders across a highly matrixed organization
Preferred
- Experience delivering enterprise AI Strategy, drive major inputs into platform development
- Familiarity with LLMs, SLMs, prompt engineering, evaluation frameworks, and AI observability tooling
- Experience working with business Product teams, AI engineering teams, COO, Risk, Enterprise technology and driving KPIs and business OKRs
- Financial services, payments, treasury, or transaction banking experience is preferred but not must. However, strategy you write should be usable and applicable to these business
Benefits & conditions
$200,000.00 - $300,000.00
In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
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