Finance Reinvention – Financial Services Senior Manager, EPM

Accenture•St. Louis, MO

4d•$112,900 - $338,300•Hybrid

About The Position

Finance Reinvention helps the world's leading Financial Services organizations reinvent finance with AI at the core. We provide end-to-end services — from strategy through delivery and managed operations — that address the unique challenges faced by Finance executives in banking, insurance and capital markets, helping them lead a more efficient, resilient and value-creating Finance function powered by data, automation and a strong ecosystem of technology partners. Our Planning & Performance Analysis (P&PA) capability focuses on Financial Services, turning financial data into forward-looking conviction through connected planning, AI-driven forecasting, scenario modeling, and decision intelligence that helps banking, insurance, and capital markets leaders navigate volatility and move boldly. A leader in digital finance who combines Enterprise Performance Management (EPM) and FP&A expertise with deep financial services industry depth. You understand how banks, insurers, or capital markets firms plan, forecast, and evaluate performance — and you know what it takes to move those functions from spreadsheet-driven, backward-looking processes to connected, AI-enabled operating models. You are comfortable advising CFOs and senior finance leaders on transformation strategy, operating model design, and platform decisions. You're equally effective rolling up your sleeves to deliver. You bring the kind of credibility that comes from having done the work: designed driver-based planning models, led EPM implementations, and turned complex financial services data environments into clear, trusted insights that drive decisions.

Requirements

A minimum of 8 years of combined consulting and/or industry experience in finance transformation, FP&A, or EPM — including a minimum of 3 years in a consulting or advisory capacity
A minimum of 5 years leading project teams and managing senior client or stakeholder relationships
A Bachelor's Degree

Nice To Haves

Experience designing or deploying agentic AI workflows within FP&A or core finance — including driver-based scenario automation, variance commentary, or self-service reporting
Deep platform specialization in one or multiple EPM platforms, with implementation credentials or alliance engagement experience
A track record in business development — proposal leadership, client origination, or alliance co-sell — within a consulting context
Familiarity with financial services regulatory frameworks that shape finance and planning such as DFAST, CECL, RBC for insurance, or Basel/CRR and how these influence operating model and reporting design
Demonstrated financial services experience — gained through consulting engagements with banks, insurers, or capital markets firms, or through in-house roles within a financial services institution
Hands-on experience with one or more EPM platforms: Oracle EPM Cloud, SAP BPC or SAP Analytics Cloud, Anaplan, OneStream, or Workday Adaptive Planning
Practical exposure to AI, GenAI, automation, or advanced analytics applied to a finance process — through a delivered engagement, a proof of concept, or a pilot
Strong executive presence and communication skills, with experience presenting complex trade-offs and transformation roadmaps to senior finance stakeholders
Hold an AI or data certification (e.g., AWS, Google Data Analytics, Microsoft Azure AI) or have formal training in machine learning or advanced analytics
An MBA or advanced degree in finance, accounting, or a related field
Hold a CPA, CFA, or equivalent professional certification

Responsibilities

Lead Finance Reinvention engagements from strategy and operating model design through EPM platform implementation and agentic AI enablement
Design and deliver driver-based planning, rolling forecasting, and variance analytics capabilities
Advise on EPM platform selection and implementation with the ability to match platform fit to financial services client context and regulatory environment
Architect and deploy agentic FP&A workflows that automate scenario generation, variance flagging, and insight delivery — reducing analyst effort and accelerating decision cycles
Design Human + Machine operating models for finance functions — defining which work is owned by humans, which is executed by agents, and how the two operate together with clear accountability, audit trails, and escalation paths
Translate complex financial services data environments — including regulatory constraints, actuarial models, treasury baselines, and segment-level P&L structures — into scalable planning and analytics solutions
Manage engagement risk, project economics, and client relationships; serve as a trusted advisor to CFO-level and senior finance stakeholders, with the ability to clearly articulate trade-offs, business value, and implementation pathways
Contribute to practice growth: lead and support proposals, develop client relationships, and help grow the P&PA pipeline within Financial Services
Collaborate with Accenture's alliance partners to bring partner-enabled solutions to clients
Mentor and develop practitioners; build the next generation of Finance Reinvention leaders in EPM and FP&A
Maintain current knowledge of EPM, AI, and finance transformation trends within financial services, contributing to the development of reusable assets