Senior Manager, Applied AI

Baker Tilly•Washington, DC

1d•$141,350 - $267,950

About The Position

The Senior Manager of Applied AI will be focused on all our service lines, acting as the lead for the design, delivery, and adoption of automation and AI solutions that transform how our firm delivers services. This role places a strong emphasis on supporting our service line leadership, drawing on deep expertise in audit, risk, and engagement delivery. It also provides strategic support to Consulting initiatives across our Managed Services and traditional consulting practices. The ideal candidate blends expertise with hands-on technical curiosity — someone who can lead a distributed development team while actively experimenting with modern automation and AI tools to drive innovation and measurable business impact.

Requirements

Bachelor’s in Accounting, Computer Science, or related field; CPA preferred.
6–8 years experience in Assurance, Consulting, or Risk within a large accounting or professional services firm.
Exposure to Consulting environments (Managed Services and/or traditional consulting engagements).
3–4 years leading technology projects, ideally with some hands-on involvement in solution design or prototyping.
Proven experience managing distributed and offshore teams (India).
Strong understanding of automation and AI technologies (e.g., RPA, Python, GenAI frameworks, Databricks, LangChain, Javascript, or workflow tools).
Experienced in leveraging AI based code tools to produce proof of concepts.
Github repository displaying side projects and self-study courses on AI and software development.
Skilled in agile delivery (Scrum Master or Product Owner certification a plus).
Experience evaluating vendors and managing external partnerships.
Excellent executive communication and presentation skills.

Nice To Haves

CPA preferred.
Skilled in agile delivery (Scrum Master or Product Owner certification a plus).

Responsibilities

Lead a team of ~6 developers (majority India-based) delivering AI and automation solutions across Assurance and Consulting.
Act as Product Owner / Delivery Lead – manage backlog, plan sprints, ensure quality delivery, and drive adoption.
Translate Assurance and Consulting workflows into clear user stories and functional requirements.
Be hands-on: prototype solutions, test AI and automation tools, and collaborate with developers on proof-of-concepts.
Collaborate with architecture, platform, and data teams to align with firm standards and governance frameworks.
Build and manage relationships with vendors and startups; evaluate solutions, conduct proofs-of-concept, and recommend paths forward.
Present solution roadmaps, vendor recommendations, and outcomes to executive stakeholders.
Partner with service-line leaders to identify, prioritize, and measure ROI for automation and AI opportunities.
Oversee QA, testing, deployment, and documentation to ensure quality and consistency.
Champion adoption through communication, training, and showcasing early wins across the firm.
Stay current on emerging technologies (GenAI, RAG, workflow orchestration, ML, automation frameworks) and translate them into practical use cases.