Director - Financial Crime Technology Application Development Leader

Director - Data Warehousing - IN

Financial Crime Technology vertical defines technology strategy & deliver solutions to enable LR&C functions within TIAA to efficiently manage the growing regulatory requirements for the enterprise.

The Financial Crime Technology application development leader must be inspiring, hands-on  with a strong bias to action and the agility to manage multiple initiatives and adapt in an evolving technology era while driving and anchoring to a long term strategy. The role requires deep listening and communications skills and the ability to build strong relationships with the Financial Crime business and other technology partners. A proven track record of designing, driving, managing and scaling compliance programs and the ability to partner with senior leaders in formulating the on-going Legal and Compliance Strategy.

This Director will serve as the voice of the Technology , representing the clients’ points of view in enterprise-wide initiatives and have the ability to influence strategic decisions with executive leadership .

Makes decisions that have a considerable impact on the overall success or failure of the function and lead

teams in the analysis, programming, and development of applications and/or systems software.

Critically, this leader will serve as a champion for Artificial Intelligence and Generative AI innovation within the Financial Crime Technology space, identifying and driving opportunities to embed AI-powered capabilities — including large language models, machine learning, and intelligent automation — into AML, Fraud Monitoring, and broader compliance workflows. The Director will be expected to translate emerging AI trends into practical, responsible, and scalable solutions that enhance detection accuracy, reduce manual effort, and strengthen the overall financial crime program.

Key Responsibilities and Duties

• The Dir, App Development manages overall delivery for Financial Crime Technology including Anti-Money Laundering, Fraud Monitoring programs ensuring quality standards and goals are achieved.

• Oversees all program activities including milestones, resources, timelines and target completion dates.

• Responsible for budget management and financial decisions within Financial Crime Technology’s strategic, growth and maintain delivery efforts and the ongoing management.

• Oversees the planning, allocation and management of resources for Financial Crime Technology teams.

• Identifying vulnerabilities, the need for upgrades, and opportunities for improvement.

• Proposing strategic solutions and recommending new systems and software.

• Creates current and Target state architecture and roadmaps for Financial Crime Technology.

• Portfolio analysis of the application inventory/platforms supporting business domains.

• Suggesting ideas to simplify, innovate and reduce costs in IT and business leadership.

• Organizing Technology training to improve employees' knowledge and skills for future organizational growth.

• Identify project and program level risks and lead the execution of mitigation strategy.

• Creates, communicates and implements the strategic direction of the function to all associates, stakeholders, and leadership team as appropriate.

• Collaborates with IT partners to devise capacity plan and ensure appropriate infrastructure for the end-to-end system delivery.

• Manages performance of team through regularly, timely feedback as well as the formal performance review process to ensure delivery of exceptional service and engagement, motivation and development of team.

• Acts as advisor to Financial Crime business in regards to technology

• Oversees project development and release upholding team principles and standards, ensuring deliverables are of accuracy and quality and satisfy operational as well as functional requirements

• Determining and implementing build versus buy strategies and views of the overall business/technology strategy.

• Leads data technology strategy, architecture, design and best practices for the domain

• Leads the development of patterns, standards and best practices in the data engineering and solutions space.

• Review and identify data solutions by evaluating client operations, applications, and programming.

• Assess data implementation procedures to ensure they comply with internal and external regulations, policies and procedures.

• Oversees the migration of data and services from legacy systems to new solutions.

• Review current data platforms and solutions and recommends solutions to improve new and existing data capabilities.

• Acts as advisor to developers for subject matter expertises and direction

• Works closely with LRC Technology Program Managers to lead the LRC Portfolio governance

• Providing business architecture and systems processing guidance.

• Ensuring the efficiency, security, and support of the organization's goals.

AI & Generative AI Innovation Responsibilities

• Leads the identification, evaluation, and adoption of AI and Generative AI solutions to enhance the effectiveness and efficiency of Financial Crime detection, investigation, and reporting capabilities, including but not limited to transaction monitoring, suspicious activity detection, and case management workflows.

• Develops and owns the AI/Gen AI innovation roadmap for the Financial Crime Technology vertical, aligning it with TIAA's enterprise AI strategy, Responsible AI principles, and regulatory expectations.

• Partners with data science, machine learning engineering, and enterprise AI teams to design, pilot, and scale AI-powered models and Gen AI tools — such as LLM-based document summarization, alert triage automation, and intelligent narrative generation for SAR/STR filings.

• Drives responsible and explainable AI practices within Financial Crime Technology, ensuring that AI models and Gen AI outputs are transparent, auditable, bias-aware, and compliant with applicable regulatory and internal governance standards.

• Evaluates emerging Gen AI use cases such as natural language querying of financial crime data, AI-assisted regulatory research, and automated anomaly detection to determine feasibility, risk, and business value.

• Establishes guardrails and governance frameworks for the use of Gen AI tools within the team, working closely with Legal, Risk, and Compliance stakeholders to ensure appropriate human oversight and controls are in place.

• Fosters a culture of AI literacy and innovation within the Financial Crime Technology team by organizing learning sessions, experimentation forums, and proof-of-concept initiatives, equipping team members with the skills and mindset to leverage AI responsibly.

• Monitors industry developments, regulatory guidance, and competitive landscape related to AI adoption in financial crime compliance, ensuring TIAA remains current and ahead of emerging risks and opportunities.

Educational Requirements

• Bachelor’s Degree  required, Post graduate preferred

Work Experience

• 10+ Years Required; 15+ Years Preferred

Physical Requirements

• Physical Requirements: Sedentary Work

Career Level
10PL

Skills and Abilities:

• 15 years’ expericnce in application Development & Data architecture

• 6 years experience in Compliance/Risk for Financial Services

• Experince with Agile project delivery and Jira toolset

• Strong verbal and written communication skills

• An analytical mind and inclination for problem-solving

• An understanding of data architecture

• Strong analytical and problem solving skills; strong communication skills

• Proven and routine attention to detail, organization, quality and deadlines

• Experience in system architecture may be advantageous.

• Excellent technical, analytical, and project management skills.

• Good leadership and motivational skills.

Related Skills

Collaboration, Continuous Improvement Mindset, Data-Driven Business Intelligence, Data Engineering/Analytics, Dat