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VP, Internal Audit
4 weeks ago
At Fannie Mae, futures are made. The inspiring work we do helps make a home a possibility for millions of homeowners and renters. Every day offers compelling opportunities to impact the future of the housing industry while being part of an inclusive team thriving in an energizing, flexible environment. Here, you will grow your career and help create access to fair, affordable housing finance.
Job DescriptionData analytics (DA) and artificial intelligence (AI) are playing an increasingly important role in Fannie Mae’s audit practice. There is an increased expectation on Internal Audit’s (IA) ability to analyze large volumes of data more efficiently, identify patterns and anomalies and raise findings on a real time basis, and gain deep insight into key processes and controls. The newly created VP, Internal Audit - Data Analytics & AI role is an executive level position in the 3rd line of defense and is similar to a managing director level at similar-sized organizations. The role reports directly to the SVP & Chief Audit Executive and is accountable for oversight of a centralized group of data analytics solutions team and the implementation of our 3-year data analytics/AI strategy, building the data skills and knowledge required to deliver our mandate (now and for the future), and implementing and maintaining the strategic data and infrastructure required to support all analytics activities in IA.
THE IMPACT YOU WILL MAKE
The VP, Internal Audit - Data Analytics & AI role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:
- Provide executive leadership to implement our data analytics and AI strategy for internal audit and foster a culture of innovation and continuous improvements.
- Provide leadership to the advanced data analytic program and the data analytics team for Internal Audit to foster and grow data analytic usage in complex and multifaceted validation and audit testing.
- Promote use of advanced analytics and automation methods and techniques across the audit department through delivery of proof-of-concept engagements, demonstrations, and education and information sessions.
- Lead the implementation of new data analytics, artificial intelligence, machine learning, RPAs, and other advanced technologies to improve audit quality and efficiency.
- Manage and oversee the advanced analytic work to ensure it is delivered accurately, timely and complete, adhering to Internal Audit documentation standards. Provide oversight to the team responsible for analyzing complex data, identifying anomalies, and providing useable insight to internal and external customers.
- Design and implement Continuous Auditing techniques and methodology, enhancing processes to optimize the efficiency and effectiveness with which assurance work is executed.
- Manage and oversee the prioritized Audit Innovation Solutions to optimize the value to Internal Audit.
- Assist and provide guidance in evaluating the effectiveness of delivered audit innovation solutions to ensure the solutions remain fit-for-purpose, accurate, complete, and timely.
- Facilitate the communication of delivered audit innovation solutions to broader audit department, individual teams, and audit stakeholders, as necessary.
- Providing hands on technical leadership by architecting, designing, and developing leading edge audit innovative solutions across the technology stack focused on data innovation, workforce productivity and new capabilities.
- Identify and assess the risks associated with the new technologies and develop and implement controls to mitigate the risks accordingly to ensure reliability of the audit results. Ensure compliance with relevant regulatory requirements and industry standards.
THE EXPERIENCE YOU BRING TO THE TEAM
Preferred Education/Certification:
- Bachelor’s degree in Computer Science, Data Science, Machine Learning, Electrical & Computer Engineering, Information Science, Information Systems, Finance, Business or related major.
- Master of Science background strongly preferred.
- Specialized audit certifications (e.g.: CIA, CSFA, CISA) are helpful.
Minimum Experience Required:
- 15 years of relevant experience, ideally in data science/analytics, programming, software engineering, control, audit, or risk roles and/or public accounting, with an emphasis in machine learning.
- Working experience in large financial institutions or Fintech companies with detailed understanding of the application of advanced data analytics and AI technologies and thorough knowledge and understanding of current emerging technologies including Artificial Intelligence and Robotic Process Automation technologies, Data Visualization software, data lakes and data warehouses, and Data Analytics software.
- Team management experience with a proven track record on driving change with a sense of urgency and delivering large transformational projects.
- Effective project management skills, make sound decisions, and exhibit initiative and intuitive thinking.
- Strong oral and written communication, presentation, and facilitation skills.
Type of Experience Preferred:
- Delivered high quality assurance service through deployment of Data Analytics and AI use cases and foster effective collaboration between the central DA team and business audit teams.
- Drove innovation that delivers long-term value for a department through ideation, research and collaboration with other functions and external partners.
- Developed human capital through establishing a minimize baseline of DA skills and built SME expertise through training and recruitment.
- Worked with internal audit teams and other company’s functions to onboard new infrastructure and tooling based on requirements.
- Strong ability to structure and scope complex problems.
- Articulated business objectives, business risk, processes, and controls to both technical and general audiences.
- Worked within Internal Audit or ad adjacent risk management space and knowledge of core Audit functions and responsibilities.
- Worked collaboratively in a matrix environment with direct reports, peers, and senior leadership teams.
Additional Information
The future is what you make it to be. Discover compelling opportunities at careers.fanniemae.com.
Fannie Mae is an Equal Opportunity Employer, which means we are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, religion, national origin, gender, gender identity, sexual orientation, personal appearance, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation in the application process, email us at careers_mailbox@fanniemae.com.
The hiring range for this role is set forth on each of our job postings located on Fannie Mae's Career Site. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee’s physical, mental, emotional, and financial well-being. See more here.
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