Job Summary:
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.
Job Duties:
- 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
Supervisory Responsibilities:
- 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
Qualifications, Knowledge, Skills and Abilities:
Education: