Strategic Programs Technical Lead & AI Strategy Lead - Executive Director - CDRR

Job description

About Us: Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management, and wealth management services. The Firm's employees serve clients worldwide including corporations, governments, and individuals from more than 1,200 offices in 43 countries.   As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence, and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve, and grow. A philosophy that balances personal lifestyles, perspectives, and needs is an important part of our culture.  Role Summary Positioned to be the best in class of program execution across Technology at Morgan Stanley, the Strategic Programs Execution (SPE) is a Super Department in Cyber, Data, Risk and Resilience (CDRR). This function facilitates enhanced delivery capability to effectively manage the increasing pipeline of critical technology, regulatory, risk and control-based programs. We’re looking for a recognized technical leader with deep expertise across Cyber, Data and Resilience domains, capable of influencing strategy and delivery outcomes across a diverse portfolio of programs, engineering teams and senior stakeholders through technical credibility, thought leadership and exceptional stakeholder engagement The ED level role will be multi-faceted with a broad range of responsibilities including; • SPE Technical Lead • AI Strategy & Delivery Insights Lead • Program Manager for Encryption Enablement • India Site Leadership Core Accountabilities 1. Technical Lead • Provide technical leadership and strategic direction across a portfolio of Cyber, Data and Resilience initiatives, ensuring program delivery decisions are informed by deep technical understanding, architectural considerations, and emerging technology trends. • Act as a trusted advisor to program managers, engineering teams and senior stakeholders, translating complex technical concepts into clear business outcomes while bridging the gap between delivery, architecture, risk and operational objectives. • Influence technical and delivery outcomes across matrixed teams without direct reporting authority, building consensus among engineering leaders, architects and business stakeholders to drive alignment, resolve cross-functional challenges, and accelerate execution 2. AI Strategy Leadership • Define and own the SPE AI and delivery-insights strategy, roadmap and product portfolio, aligned to measurable programme-execution outcomes. • Translate programme-management pain points into prioritised use cases, clear product propositions, prototypes, reusable components and production-ready services. • Define business outcomes, product success measures, acceptance criteria and review points for each use case. • Serve as a senior owner for SPE AI products and delivery insight, bridging program needs, engineering delivery, analytics and stakeholder expectations. • Translate AI, automation, data and reporting concepts into clear business outcomes, investment choices, roadmaps and executive-ready narratives. • Drive adoption through role-based training, communications, playbooks, demonstrations, office hours and targeted engagement. • Build SPE capability so program managers can use approved AI and reporting products confidently, consistently and responsibly. • Own the lifecycle of AI products from discovery and evaluation through release, adoption, monitoring, support, material change and retirement. • Own the SPE delivery-insights and Power BI strategy, ensuring reporting products provide trusted, timely and decision-useful information. • Define KPI, metric, data-quality and visual-design standards for programme execution, dependencies, readiness, delivery performance, risk reduction and executive transparency. • Rationalize duplicative or low-value reports and promote reusable, governed insight products across programs 3. Program Manager for Encryption Enablement • Responsible for delivering through the management of the programs projects/workstreams on behalf of the Program Director • Planning the program and monitoring its overall progress, resolving issues and initiating corrective actions where required • Scope includes technical domains such as Post Quantum Cryptography 4. India Leadership • Serve as the local leadership point of contact for the India-based team, fostering a high-performance culture through coaching, mentoring, career development, succession planning and employee engagement initiatives. • Partner with global leadership to shape and execute a location strategy, ensuring the India team is effectively integrated into the broader organization and aligned to strategic priorities, operating models and ways of working. • Identify and drive opportunities to expand the organization's capabilities and footprint in India, including talent acquisition, capability development, workforce planning Candidate Profile Essential leadership experience • Significant experience leading technology strategy, product management, data and analytics, programme execution or AI-enabled transformation in a complex enterprise. • Substantial background in leading by influence rather than reporting lines and be able to solve complex problems through structured approaches • Strong technical credibility with engineers, analysts, architects, platform teams, data owners and control partners. • Proven accountability for taking digital, data