Req ID: 379429

We are currently seeking a Industry Consulting Sr. Manager to join our team in Dallas, Texas (US-TX), United States (US).

Role Title : Senior Manager - Finance Subject Matter Expert & Go-To-Market Offerings Lead

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 agents can support finance users by automating repetitive tasks, generating insights, recommending actions, and improving decision-making.
• Work with AI, data, and technology teams to design agent workflows, human-in-the-loop controls, governance models, and measurable business outcomes.
• Ensure Agentic AI offerings include appropriate controls for accuracy, auditability, explainability, compliance, and risk management.

5. Business Process and Transformation Expertise

• Define current-state and future-state finance process maps.
• Identify opportunities for standardization, automation, analytics, and operating model improvements.
• Support Finance transformation initiatives involving ERP, EPM, workflow automation, data platforms, analytics, and AI.
• Help clients improve finance efficiency, close cycle times, forecasting accuracy, working capital, compliance, and decision support.
• Develop transformation roadmaps aligned with business priorities and technology maturity.

Required Industry Experience

The ideal candidate should have worked in a corporate Finance department within industry before moving into consulting, technology, or advisory roles.

Preferred backgrounds include experience in one or more of the following functions:

• Corporate Finance
• Controllership
• FP&A
• Accounting Operations
• Financial Reporting
• Treasury
• Finance Shared Services
• Internal Controls
• Business Finance / Commercial Finance
• Finance Transformation
• ERP / EPM-enabled Finance Operations

Key Skills Needed

Finance Domain Skills

• Strong understanding of end-to-end Finance processes
• Record-to-Report, Order-to-Cash, Procure-to-Pay, FP&A, Treasury, and Controls knowledge
• Month-end close, consolidation, reporting, reconciliations, and compliance experience
• Understanding of financial statements, budgeting, forecasting, and variance analysis
• Knowledge of finance operating models, shared services, and process standardization
• Ability to identify finance process inefficiencies and transformation opportunities

Go-to-Market and Offering Skills

• Ability to create market-relevant Finance offerings
• Strong point-of-view development and storytelling capability
• Ability to convert finance pain points into packaged solutions

Agentic AI and Digital Finance Skills

• Understanding of AI, automation, analytics, and digital transformation in Finance
• Ability to identify Agentic AI use cases across Finance processes
• Familiarity with AI agents, workflow automation, human-in-the-loop models, and governance
• Understanding of data requirements for Finance AI use cases
• Ability to define AI-enabled finance business cases and adoption roadmaps
• Awareness of risk, compliance, explainability, and control considerations for AI in Finance

Consulting and Leadership Skills

• Strong stakeholder management and facilitation skills
• Ability to lead cross-functional teams across business, technology, data, and AI
• Strong problem-solving and structured thinking
• Strong business acumen and ability to engage senior executives

Qualifications

Required

• Bachelor's degree in Finance, Accounting, Business, Economics, or related field
• 10+ years of experience across Finance operations, Finance transformation, consulting, or technology-enabled business transformation
• Prior hands-on experience working within an industry Finance department
• Strong understanding of Finance business processes from transaction processing to reporting and decision support
• Experience engaging with senior Finance stakeholders and leading client discussions
• Demonstrated ability to develop offerings, solution concepts, or transformation roadmaps
• Strong written and verbal communication skills

Preferred

• MBA, CPA, CA, CMA, or equivalent Finance qualification
• Experience in consulting, advisory, or technology services
• Experience with ERP/EPM transformation programs
• Exposure to AI, GenAI, Agentic AI, intelligent automation, or finance analytics
• Experience developing go-to-market assets, white papers, proposals, or executive presentations
• Industry experience in Manufacturing, Retail, CPG, Life Sciences, Financial Services, Technology, or Industrial sectors

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $120,000-$220,000. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.

This position may also be eligible for incentive compensation based on individual and/or company performance.

This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use [redacted].com, [redacted].com and [redacted].nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

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