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Industry Consulting Sr. Manager

Job in Dallas, Dallas County, Texas, 75201, USA
Listing for: NTT DATA
Full Time position
Listed on 2026-07-02
Job specializations:
  • Finance & Banking
    AI Business & Operations, Financial Manager, VP/Director of Finance
Job Description & How to Apply Below

Senior Manager – Finance Subject Matter Expert & Go-To-Market Offerings Lead

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Senior Manager – Finance SME to join our team in Dallas, Texas (US-TX), United States (US).

Role Overview

We are looking for a Senior Manager – Finance SME who brings strong industry experience working within a corporate Finance function and has the ability to translate finance business challenges into scalable consulting, technology, and AI-led market offerings.

The candidate will be responsible for shaping and leading Finance domain go-to-market offerings, engaging with clients and senior stakeholders, defining business process-led solutions, and developing differentiated offerings in areas such as Record-to-Report, Order-to-Cash, Procure-to-Pay, FP&A, Treasury, Tax, Controls, Shared Services, and Finance Transformation.

A key part of the role will be to create and lead Agentic AI offerings for Finance, identifying use cases where AI agents can automate, augment, and transform finance operations, decision-making, compliance, and reporting.

  • Align finance solutions to enterprise AI platforms and cross-functional data models (procurement, supply chain, HR), ensure reuse of shared AI context, data, and governance layers
  • Assess and define finance data foundation (ERP, master data, reporting structures) and identify gaps impacting automation and AI
  • Lead finance participation across the deal lifecycle—from discovery and solutioning to SOW definition and delivery transition

Ideal Candidate Profile

The ideal candidate is a Finance professional who has lived the realities of corporate Finance operations and can now translate that experience into market-leading solutions. They should be equally comfortable discussing month-end close challenges with a Controller, forecasting pain points with an FP&A leader, transformation priorities with a CFO, and Agentic AI solution concepts with technology and data teams.

Align finance solutions to enterprise AI platforms and cross-functional data models (procurement, supply chain, HR), ensure reuse of shared AI context, data, and governance layers

Assess and define finance data foundation (ERP, master data, reporting structures) and identify gaps impacting automation and AI

Lead finance participation across the deal lifecycle—from discovery and solutioning to SOW definition and delivery transition

They should bring a strong blend of:

  • Finance process expertise
  • Industry operating experience
  • Consulting mindset
  • Client-facing confidence
  • Digital and AI awareness
  • Offering creation capability
  • Executive communication skills

Key Responsibilities

1. Finance Domain Leadership

  • Serve as the Finance domain SME across client conversations, solution development, and offering creation.
  • Bring practical experience from having worked in an industry Finance department, with hands-on understanding of day-to-day finance operations.
  • Demonstrate deep understanding of end-to-end finance business processes

2. Go-to-Market Offering Development

  • Create and lead differentiated Finance domain market offerings aligned to client needs and industry trends.
  • Define the value proposition, target buyer personas, business outcomes, and delivery approach for Finance offerings.

3. Client Advisory and Executive Engagement

  • Engage directly with client stakeholders including CFOs, Controllers, Finance Directors, FP&A Leaders, Shared Services Heads, and CIO/IT leaders.
  • Lead finance discovery workshops to understand current-state processes, pain points, operating models, and transformation objectives.
  • Translate client challenges into business process improvements, technology-enabled solutions, and AI use cases.
  • Facilitate executive discussions around finance modernization, automation, analytics, AI adoption, and operating model transformation.
  • Act as a trusted advisor who can connect finance process knowledge with technology and business value.

4. Agentic AI Finance Offerings

  • Lead the creation of Agentic AI market offerings for Finance.
  • Define how AI…
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