Director – Data Analytics

American Express

. Lead a team of analytics and AI developers designing, building, testing, deploying, and continuously improving AI-enabled audit capabilities .

Posted 9/15/2026full-timeGurugram • IndiaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading analytics and AI development teams, translating complex business and audit requirements into AI-enabled solutions, and ensuring quality assurance and governance in audit processes. Proficient in integrating advanced analytics, machine learning, and AI technologies to enhance audit capabilities and drive risk insights.

Highest-signal resume keywords

AI-Enabled Solution DevelopmentAnalytics Project ManagementMachine Learning ExpertiseRisk Management IntegrationCommunication of Complex Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI DevelopmentMachine LearningNatural Language ProcessingData AnalysisAutomationPrompt EngineeringControl TestingData-Driven Audit ProceduresGenerative AILarge Language Models

Soft Skills

Effective CommunicationLeadershipInnovationIntegrityCross-Skilling

Tools & Technologies

Microsoft Copilot StudioOpenAI APIsCustom GPT PlatformsEnterprise Data PlatformsWorkflow ToolsKnowledge Management PlatformsVector DatabasesSemantic SearchMCP ServersAgent Frameworks

Industry Keywords

Public AccountingInternal AuditFinancial ServicesRisk ManagementCredit Risk ManagementGovernanceComplianceData ScienceInformation SecurityChange Management

About the role

Key responsibilities & impact

Lead a team of analytics and AI developers designing, building, testing, deploying, and continuously improving AI-enabled audit capabilities
Identify, prioritize, and lead opportunities to embed AI, analytics, and automation into audit planning, risk assessment, control testing, issue validation, reporting, and continuous auditing
Translate business risks, controls, audit objectives, and supporting data into analytic and AI solution requirements
Partner with developers and stakeholders to deliver analytics, agents, automation, and insights
Manage multiple simultaneous audit analytics projects across business areas, regions, and audit teams, including emerging risk areas
Analyze and interpret Analytics Control Tests, Data Driven Audit Procedures, advanced analytics, and AI-enabled outputs
Help audit teams generate actionable, forward-looking risk insights
Establish and maintain quality assurance, validation, monitoring, documentation, governance, and change control protocols
Build relationships with auditors, audit leaders, technology and business partners, risk management and control functions, and regulators
Communicate complex analytics and AI solution designs, results, risks, limitations, and business impact to non-technical senior audiences
Champion AI literacy, responsible usage, training, and cross-skilling across IAG

Requirements

What you’ll need

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
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 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 responsible use of AI-generated outputs
Ability to lead analytical capabilities using machine learning, forecasting, cluster analysis, pattern matching, natural language processing, generative AI, and large language models
Ability to break down complex problems and communicate analysis, issues, limitations, and control recommendations clearly and professionally
Ability to integrate business, operational, technological, data, AI, and financial components into audit work
Understanding of AI governance, responsible AI, privacy, information security, access control, model risk, testing, documentation, and change management
Demonstrated track record of integrity, effective communication, innovation, and excellence
Strong written and verbal communication skills
Proven ability to lead global team members and encourage development, cross-skilling, innovation, accountability, and results
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 preferred
Experience with retrieval-augmented generation, semantic search, vector databases, embeddings, knowledge management platforms, or enterprise search preferred

Benefits

Comp & perks

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