Director-Data Analytics

American Express’ Internal Audit Group (IAG) has reinvented our audit process and is leading the financial services industry with our Data-Driven Continuous Auditing methodology embedding intelligence through the audit lifecycle. Analytics & Insights team at IAG is uniquely positioned to support our department’s Winning Aspirations to be a world class internal audit function that is:

Innovative – Leveraging data, automation, and AI throughout our processes

Impactful – Delivering timely, pragmatic and forward-looking risk insights across the organization

Influential – Developing leaders to enrich the colleague experience

Collectively, IAG’s strategic initiatives, combined with our greatest asset – our people – enable IAG to evolve through the design, development, deployment, and governance of AI-driven capabilities. These include custom GPTs, enterprise Copilot agents, agentic workflows, MCP-enabled integrations, advanced analytics, automation, and data-driven audit solutions that provide greater and more continuous assurance across the organization.

We are looking for those who share our mission and aspirations and are passionate about the use of data and technology in a collaborative, people-focused environment.

7+ years’ experience in public accounting, finance, internal audit, analytics, technology, risk management, or related fields, preferably within the Financial Services/Banking industry.

BA, BS, or equivalent degree in Accounting, Finance, Data Science, Computer Science, Information Systems, Engineering, or a related field; advanced degree preferred.

Demonstrated experience leading analytics, automation, or AI development teams from idea generation through production deployment and adoption.

Hands-on or leadership experience developing AI-enabled solutions such as custom GPTs, Microsoft Copilot agents, LLM-powered applications, AI assistants, workflow automation, or agentic solutions.

Experience translating business, audit, risk, and control requirements into technical solution designs, including data requirements, user workflows, controls, testing criteria, and success measures.

Understanding of LLM solution patterns, including prompt engineering, system instruction design, retrieval-augmented generation, knowledge grounding, tool/API integration, agent orchestration, evaluation, monitoring, and human-in-the-loop controls.

Familiarity with secure integration approaches for AI solutions, including APIs, enterprise data platforms, document repositories, workflow tools, and MCP servers or similar agent/tool connectivity frameworks.

Track record of redesigning business processes to be AI-enabled, automated, data-driven, measurable, and aligned with risk and control expectations.

Aptitude for working with data, interpreting results, business intelligence, analytics best practices, and the responsible use of AI-generated outputs.

Ability to lead development of analytical capabilities by leveraging advanced analytic methods such as machine learning, forecasting, cluster analysis, pattern matching, natural language processing, generative AI, and large language models.

Ability to break down complex problems into components, solve them using data analysis, process knowledge, AI-enabled methods, and risk/control knowledge, and communicate analysis, issues, limitations, and control recommendations with clarity and professionalism.

Ability to effectively integrate business, operational, technological, data, AI, and financial components into audit work.

Demonstrated understanding of AI governance, responsible AI, privacy, information security, access control, model risk, testing, documentation, and change management considerations.

Demonstrated track record of integrity, effective communication, innovation, and excellence.

Strong written and verbal communication skills that deliver high-quality, actionable, and value-added feedback to management on potential control issues and potential solutions to close gaps.

Proven ability to lead global team members in a way that encourages development, cross-skilling, innovation, accountability, and results.

Preferred Qualifications

Background in credit risk management highly preferred.

Experience with Microsoft Copilot Studio, Microsoft 365 Copilot extensibility, OpenAI APIs, custom GPT platforms, agent frameworks, or comparable generative AI development tools.

Experience with retrieval-augmented generation, semantic search, vector databases, embeddings, knowledge management platforms, or enterprise search.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

Competitive base salaries

Bonus incentives

Support for financial-well-being and retirement

Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)

Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need

Generous paid parental leave policies (depending on your location)

Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)

Free and confidential counseling support through our Healthy Minds program

Career development and training opportunities

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.