MD
Senior Director - Audit AI, Product & Data Science
Macpower Digital Assets Edge Private Limited
- 🇺🇸 United States
- Remote
- Manager or above
- 3 hours ago
- $226,000 – $340,000 / year
- AI
- Risk Management
- Machine Learning
- AI/ML
- Microservices
- Natural Language Processing
- MLOps
3 hours ago
LOCATION & WORK ARRANGEMENT:
- Local Candidates (Washington, DC / Reston, VA area): This is a hybrid role requiring 3 or more days per week in the office.
- Remote Candidates (Outside the DC area): Remote employment is available under the following conditions:
- Must reside within any of the 50 US states.
- Must work Eastern Standard Time (EST) business hours (8:30 AM – 5:00 PM EST daily).
- Must be willing to travel to the Washington, DC or Reston, VA office at least 1 time per quarter (with potential for more frequent visits based on business needs).
- Lead the development and execution of Audit's AI, analytics, and automation roadmap in alignment with Board goals, Audit priorities, and the broader enterprise AI vision.
- Own the strategy, product roadmap, delivery, and adoption of AI, GenAI, analytics, and automation capabilities that produce measurable efficiency, quality, and insight gains across the audit lifecycle.
- Partner with Technology to architect and scale a unified audit platform that enables reusable data assets, analytics, automation, GenAI services, model operations, secure delivery, and enterprise-grade controls.
- Build destination talent by attracting, developing, and retaining high-performing data science, AI engineering, product, and automation professionals while upskilling the existing audit workforce.
- Serve as a strategic thought leader to Audit executives and VP+ stakeholders, challenging the organization to maximize value from AI and advanced analytics while managing data, model, operational, and ethical risks.
- Shape a platform-based approach that reduces time to market, increases reuse, and allows auditors to focus on work requiring professional judgment while AI supports anomaly detection, full-population testing, evidence generation, actionable insights, and control-risk reporting.
- Collaborate with Enterprise AI, data science, technology, risk, compliance, and business leaders to extend Audit-built capabilities across the three lines of defense and improve enterprise risk management effectiveness.
- Enable continuous monitoring, more robust risk detection, automated evidence generation, and deeper data-driven insights that establish Audit as a beacon of innovation and a destination for technical and future-skilled audit talent.
Minimum Required Experiences:
- 8 years of relevant experience in data science, AI, analytics, automation, product management, technology delivery, audit technology, or related enterprise technology functions.
- 5+ years of leadership experience building, coaching, and leading high-performing, diverse teams of data science, AI, automation, product, and technology professionals.
- Proven track record delivering enterprise AI, analytics, automation, or data products from strategy through production adoption with measurable business outcomes.
- Experience leading AI-enabled transformation in Internal Audit, risk, compliance, financial services, or another highly regulated enterprise environment.
- Deep expertise in AI/ML, GenAI, automation, advanced analytics, data platforms, cloud technologies, model lifecycle management, and scalable software/product delivery practices.
- Experience partnering with Technology to design and scale platforms, reusable capabilities / microservices, governed data products, APIs, and enterprise-grade AI capabilities.
- Strong understanding of data governance, model risk, responsible AI, and regulatory expectations in financial services or similarly regulated environments.
- Executive-level communication and influencing skills, with the ability to advise executives and VP+ stakeholders, challenge assumptions, and explain technical ideas clearly to non-technical audiences.
- Experience establishing strategies, operating models, talent plans, and performance measures that accelerate delivery, reuse, workforce adoption, and measurable efficiency gains.
- Bachelor's degree or equivalent experience in computer science, data science, statistics, engineering, information systems, business or a related field.
- Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work.
- Advanced degree in computer science, data science, statistics, engineering, AI, analytics, business, finance, audit, risk, or a related field.
- Strong understanding of Audit, controls or risk management.
- Experience with GenAI/LLMs, retrieval-augmented generation, intelligent agents, NLP, anomaly detection, machine learning, orchestrated multi-agentic workflows, or knowledge graphs.
- Familiarity with cloud AI and data platforms, MLOps/LLMOps, model monitoring, data quality controls, secure software delivery, and enterprise architecture practices.
- Relevant certifications or credentials such as Machine Learning / Cloud / AI certifications, or equivalent professional experience.
Senior Director - Audit AI, Product & Data Science · Macpower Digital Assets Edge Private Limited