Senior Manager, Data & AI
Location: Lake Mary, FL (Hybrid)
Department: Technology, AI & Product Experience (TPX)
Status: Full-Time | Exempt
About The IIA
The Institute of Internal Auditors (IIA) is the global leader and recognized authority for the internal audit profession. We are dedicated to advancing the profession worldwide through education, advocacy, certifications, and professional resources. Guided by our values of People First, Integrity, Collaboration, Accountability, and Innovation, we provide a collaborative, purpose-driven workplace where employees can grow professionally while making a global impact.
Why Join The IIA?
- Make a global impact by advancing the internal audit profession.
- Work in a collaborative, values-driven culture.
- Be part of an organization that values innovation and continuous learning.
- Grow your career while contributing to meaningful work that strengthens organizations around the world.
- Join a team committed to integrity, accountability, and putting people first.
Position Summary
The Senior Manager, Data & AI is a strategic and hands-on technology leader responsible for building and leading IIA's enterprise data, analytics, and artificial intelligence capabilities. Reporting to the Vice President of Technology, AI & Product Experience, you'll define the strategy and roadmap for data engineering, analytics, AI, and governance while leading a high-performing team and partnering across the organization to deliver secure, scalable, and business-driven solutions.
This is a unique opportunity to build the organization's modern data and AI capability, establish enterprise standards, and help shape how AI creates measurable value across the business.
Work Arrangement
This is a hybrid position based in Lake Mary, Florida, combining in-office collaboration with remote work.
What You'll Do
- Lead the strategy and execution of enterprise data engineering, analytics, AI, and governance initiatives.
- Build and evolve IIA's cloud data platform, including lakehouse architecture, data pipelines, analytics, and governance capabilities.
- Deliver production-ready AI and machine learning solutions that drive measurable business outcomes.
- Recruit, mentor, and develop a high-performing Data & AI team while partnering with implementation vendors.
- Establish best practices for data governance, AI governance, model evaluation, and responsible AI adoption.
- Collaborate with Engineering, Technical Product Management, Information Security, Legal, and business leaders to deliver innovative technology solutions.
- Communicate technical strategy and business value effectively to executive leadership.
Qualifications
Required Qualifications
- Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or a related field (or equivalent experience).
- 7+ years of experience in data engineering, analytics, machine learning, or AI, including 2+ years leading technical teams.
- Experience designing and managing cloud-based data platforms using Azure, Databricks, Spark, Delta Lake, or similar technologies.
- Experience deploying and supporting production AI, machine learning, or LLM-based solutions.
- Strong proficiency in SQL and Python.
- Experience with data governance, data quality, cataloging, lineage, and access management.
- Excellent leadership, communication, and stakeholder management skills.
Preferred Qualifications
- Experience implementing MLOps and AI governance practices.
- Experience in a regulated, nonprofit, association, or professional services environment.
- Familiarity with Azure cloud services, SaaS platforms, and enterprise architecture.
- Knowledge of AI governance frameworks such as NIST AI RMF or ISO/IEC 42001.
Equal Opportunity Employer
The Institute of Internal Auditors (IIA) is an Equal Opportunity Employer. We are committed to creating an inclusive workplace where all employees are treated with dignity and respect. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
