Commercial Banking Applied AI Consulting Manager

Accenture•St. Louis, MO

4d•$80,400 - $293,800•Onsite

About The Position

Accenture is seeking a Manager in its Commercial Banking practice to lead hands-on AI solutions for wholesale lending. The role combines industry consulting, lending platforms, and agentic AI, working on site with client credit, risk, and technology teams. The Manager turns business problems into AI agents, plugins, and integrations and takes solutions from prototype to production in banks’ lending systems. They also contribute field-tested solutions to Accenture’s reusable commercial lending assets and AI partner offerings. The role involves identifying and delivering AI use cases across the commercial lending lifecycle, designing integrations with platforms and systems such as nCino and Salesforce Financial Services Cloud, and establishing governed patterns for AI-assisted credit actions. The Manager serves as a solution architect and technical delivery lead on enterprise nCino programs, introduces AI-augmented software delivery practices, advises senior banking leaders, and supports business development and thought leadership. Travel may be required up to 80% in the United States and Canada.

Requirements

At least 5 years of professional services experience in technology consulting, implementation, or solutioning, with broad experience in engagement management and business development.
At least 5 years of experience delivering commercial lending technology across the credit lifecycle, including origination, underwriting, closing, servicing, and portfolio management.
At least 5 years of experience leading nCino or Salesforce delivery for commercial or corporate lending, including in a solution architect or technical lead role.
At least 5 years of hands-on Force.com platform experience, including Apex, Lightning Web Components (LWC), and enterprise integrations.
At least 2 years of experience building generative and agentic AI solutions on LLM platforms such as Anthropic Claude, OpenAI, or Azure OpenAI and integrating them with banking platforms.
At least 1 year of experience developing AI plugins, tools, or Model Context Protocol (MCP) servers and applying AI-augmented software delivery practices.
Bachelor’s degree.
Ability to operate in a collaborative environment and demonstrate commitment, teamwork, and collaboration in a professional setting.
High energy, focus, and ability to work well in demanding client environments.
Excellent written and oral communication and interpersonal skills.
Strong leadership, problem-solving, and decision-making abilities.
Professional integrity, credibility, and character.
For U.S. applicants, work authorization that does not now or in the future require visa sponsorship.

Nice To Haves

Experience building AI solutions for credit memo, covenant, collateral, or risk-rating workflows in a regulated banking environment.
Experience productizing solutions into reusable assets, plugins, or accelerators.
Published open-source tooling or thought leadership on AI-assisted Salesforce development or AI in lending.
Experience across both North American and international banking clients.
nCino or Salesforce certifications.
Hands-on experience with additional commercial lending industry platforms, such as Moody’s, Blooma, or Built.

Responsibilities

Embed with client lending teams to identify high-value AI use cases across origination, underwriting, closing, servicing, and portfolio management, and deliver working solutions in short cycles.
Design and build AI agents, plugins, skills, and Model Context Protocol (MCP) or API integrations connecting LLMs to nCino, Salesforce Financial Services Cloud, loan servicing, financial spreading, and document systems.
Build governed patterns for AI-assisted credit actions, including human-in-the-loop approval, audit trails, and alignment with model risk management expectations such as SR 11-7.
Act as solution architect and technical delivery lead on enterprise nCino programs, including hands-on Apex and Lightning Web Components (LWC) design.
Introduce AI-augmented delivery practices (AI SDLC) for client and Accenture teams across requirements, build, test, and release on Salesforce and nCino.
Turn field-proven solutions into reusable plugins, accelerators, and demo assets for Accenture’s commercial lending offerings and AI partner ecosystems.
Advise Chief Credit Officers, heads of commercial lending, and CIOs, and drive business development for AI-led lending opportunities.
Build a reputation as an industry thought leader on AI in commercial lending, including with platform partners.
Travel as required, up to 80%, in the United States and Canada.