Audit Data Analytics Director, BDOADVANTAGE

BDO USA•New York, NY

About The Position

As a Director on the BDOADVANTAGE team, you will own the strategy, roadmap, governance, and delivery of the firm’s audit data analytics portfolio. You will lead multi-disciplinary teams of managers, senior managers, and technical professionals who design, build, and deploy analytics, automation, and AI-enabled solutions that help engagement teams focus on the items that matter most, and you will serve as a catalyst for the firm’s audit innovation agenda. We believe in a collaborative, flexible, inclusive, curious, growth-oriented culture with accountability to each other and to our goal of modernizing the way our professionals work. We approach every business problem with blinding originality. The successful candidate is a seasoned delivery leader who is fearlessly creative, imaginative, curious, organized, and collaborative within a multi-disciplinary network of professionals at the forefront of our analytics and technology R&D efforts and is comfortable operating with autonomy and accountability in a fast paced, high-energy environment.

Requirements

Bachelor’s degree in Accounting, Finance, Data Analytics, or Information Systems, required
Ten (10) or more years of relevant accounting, finance, audit, or data analytics experience, required
Five (5) or more years of experience delivering data analytics or technology solutions in an audit or assurance environment, required
Prior supervisory experience leading multi-level teams, including managers, required
Prior portfolio or program management experience across concurrent workstreams, required
Demonstrated initiative in learning, adopting, and applying innovative approaches and technology, required
Advanced experience with data visualization tools, required
Proficient in Microsoft Office suite, including Excel, Word, PowerPoint, and Outlook, required
Working knowledge of accounting and audit methods, including US GAAP, US GAAS, and PCAOB standards, required
Advanced experience with Power BI, including data models, Power Query, M language, and DAX, required

Nice To Haves

Master’s degree in Accounting, Finance, Data Analytics, or Information Systems, preferred
Experience establishing delivery, quality, or governance standards across distributed or offshore teams, preferred
Experience delivering AI or machine learning enabled solutions, including responsible AI governance, preferred
Experience engaging and influencing executive stakeholders, preferred
Experience collaborating with distributed or remote teams, preferred
Working knowledge of SQL, preferred
Experience with Python or comparable scripting language, preferred
Experience with source control and DevOps tooling such as Git, GitHub, or Azure DevOps, preferred
Experience with cloud data platforms such as Azure, preferred
Certified Public Accountant (CPA) license, preferred
Certified Fraud Examiner (CFE), Certified Information Systems Auditor (CISA), or similar credential, preferred
Certifications from organizations such as Scrum Alliance or Project Management Institute (e.g., PMP, Scrum Master, Certified Product Owner), preferred

Responsibilities

Defines and owns the multi-year audit data analytics strategy and roadmap, translating practice priorities and emerging methods into a prioritized, funded portfolio of deliverables
Partners with industry and practice leaders to shape analytic concepts, prioritize features, define scope, and iterate with continuous feedback from stakeholders and pilot teams
Builds, leads, and develops a multi-level team of analytics, automation, and AI professionals, including onshore and offshore delivery resources
Manages resourcing, capacity, and staffing models across concurrent workstreams and adjusts allocations as priorities shift
Directs a portfolio of analytics programs and workflows of significant complexity, including cross-functional and cross-border delivery
Provides advanced technical direction for analytical and visualization routines in Power BI, including data models, queries, DAX formulas, and report visuals
Establishes and enforces engineering quality standards, SDLC and DevOps practices, source control and branching strategy, code review expectations, and release governance
Develops and deploys data analytics techniques, tools, and templates that improve audit quality, enhance engagement efficiency, and accelerate adoption of emerging methods
Leads evaluation, governance, and responsible deployment of AI-enabled and agentic analytics capabilities, including model lifecycle standards, quality gates, and escalation protocols
Ensures data analytics deliverables are intuitive, conform to internal and professional standards, and deliver measurable value to engagement teams and clients
Establishes metric and data governance standards that ensure consistency, traceability, and reusability across the analytics portfolio
Aligns and influences stakeholders across Professional Practice, National IT, National Innovation, Learning, and BDO Global to drive planning, execution, and adoption
Identifies and manages dependencies and risks across projects to ensure efficient resource utilization and higher end user adoption
Applies deep knowledge of financial data systems and ERP sources to ensure the common data model supports repeatable, reusable analytics routines
Monitors key performance indicators for delivery, quality, and adoption, and reports portfolio status and outcomes to firm leadership
Furthers BDO’s innovation efforts and personal development by devoting 15-20% of time to projects involving emerging technology, including but not limited to advanced analytics, artificial intelligence, research and development activities, and other forward-looking experiments
Monitors engagement team feedback and directs iterative improvements to existing audit data analytics routines
Ensures deliverables comply with regulatory, professional, and firm-wide requirements, coordinating with Professional Practice and Risk as needed
Oversees development and delivery of training and enablement that is clear, engaging, and hands-on, and drives change management across the practice
Supports proposal activity and defends current clients from competitor behavior by incorporating data analytics and innovation into go-to-market approaches
Other duties and projects as required
Leads managers and senior managers, and manages workflow, resourcing, and performance across project teams
Acts as the senior technical escalation point and helps teams resolve the most complex technical and delivery challenges
Provides strategy, direction, and decision authority for analytics, automation, and AI projects within delegated scope
Acts as a Career Advisor and invests in team members’ professional development through coaching, training, and process instruction
Provides verbal and written performance reviews and delivers clear, timely, constructive feedback