Wholesale Lending Services (WLS) Data & AI Strategy Director
hackajob · Chicago, IL · 2 wk ago
On-siteBusiness DevelopmentFull-time
Job Responsibilities
- Define and execute the WLS Data & AI Strategy, aligned to firmwide priorities and business objectives.
- Drive adoption of data and AI capabilities across WLS, partnering with senior stakeholders to embed these into business processes.
- Establish a forward-looking roadmap to leverage emerging technologies, including AI/ML, automation, and advanced analytics.
- Serve as WLS Deputy Chief Data Officer, supporting strategy, governance, and transformation priorities.
- Lead and develop a small team of data professionals, fostering a culture of accountability, innovation, and continuous improvement.
- Lead high-priority, cross-functional initiatives to implement and scale the WLS Data & AI Strategy.
- Establish and enhance data governance policies, standards, and controls to ensure data integrity, quality, and regulatory compliance.
- Promote data stewardship, ownership, and accountability across WLS.
- Champion an AI-first mindset, embedding AI/ML and automation into core WLS processes and data lifecycle management.
- Partner with technology and data science teams to develop and scale AI-driven solutions that enhance productivity, risk management, and client outcomes.
- Develop and deliver executive-level narratives, materials, and recommendations to senior leadership, communicating complex data and AI concepts clearly to both technical and non-technical audiences.
Required Qualifications, Capabilities, and Skills
- Bachelor's degree.
- Extensive experience in financial services with deep expertise in data strategy, AI/analytics, data governance, or Chief Data Office functions.
- Proven ability to define and drive enterprise-scale data and AI strategies across large, complex organizations.
- Demonstrated experience leading cross-functional initiatives and transformation programs.
- Strong understanding of data management frameworks, governance, and regulatory requirements.
- Experience embedding AI/ML or advanced analytics capabilities into business processes.
- Exceptional communication and executive presence, with the ability to influence senior stakeholders.
- Strong problem-solving and analytical skills with the ability to translate strategy into execution.
- Ability to manage multiple priorities and operate effectively in fast-paced environments.
Preferred Qualifications, Capabilities, and Skills
- MBA or advanced degree.
- Experience in Wholesale Lending, Commercial Banking, or Corporate & Investment Banking (CIB).
- Familiarity with modern data platforms, cloud architectures, and data ecosystems.
- Experience in Chief Data Office or enterprise data transformation functions.