Finance AI Data Strategy Manager

Accenture

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Dallas, TXMilwaukee, WIColumbus, OHKirkland, WACincinnati, OHNew York, NYCleveland, OHOklahoma City, OKAustin, TXAlbany, NYChicago, ILSt. Pete, FLHartford, CTPittsburgh, PASt. Louis, MOMiami, FLSacramento, CARaleigh, NCMinneapolis, MNMountain View, CAScottsdale, AZSan Francisco, CAMorristown, NJDenver, COBoston, MAPhiladelphia, PADes Moines, IAOverland Park, KSLos Angeles, CACharlotte, NCWalnut Creek, CACarmel, CASeattle, WAHouston, TXArlington, TXAtlanta, GARedmond, WABentonville, ARBeaverton, ORNashville, TNDetroit, MISan Diego, CA
Salary
$94,400–$293,800 / yr
Employment
Full-time
Posted
28 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $195k
This role $194k
$70k $318k
below market most similar roles pay here above market

This role pays more than 50% of similar roles. Most pay $165,375–$225,272 — the blue band above. At the midpoint, this role pays about $194k versus about $195k for comparable roles.

Based on 240 similar postings.

Employer

About Accenture

Accenture is a leading global professional services company specializing in IT, strategy, consulting, and operations, with a strong focus on digital transformation, cloud computing, and artificial intelligence.

Accenture currently has 174 open roles on FindRole.

Listed pay typically runs $94,400–$266,300 across 128 roles with salary data.

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At a glance

TL;DR · Finance AI Data Strategy Manager

The Finance AI Data Strategy Manager joins the Finance AI and Data Strategy team to build and execute transformational strategies for organizations reinventing their Finance functions through artificial intelligence and data. You will own the full arc from vision to delivery, designing technology platforms, data foundations, operating models, and talent strategies. Key responsibilities include developing business cases, ROI models, and sequenced roadmaps while using scaled agile disciplines to deliver critical data products. You must possess deep fluency in AI and data architecture, experience with corporate Finance processes, and the ability to embed Responsible AI principles. The role requires expertise in conducting client assessments, requirements gathering, and large-scale global delivery to solve complex business problems, specifically focusing on creating revenue upside, cost takeout, and competitive advantages for global Finance leaders.

What you'll do

  • Define Finance AI strategies that connect to business outcomes like revenue upside and cost takeout.
  • Build trusted advisor relationships with CFOs and senior Finance leaders as a thought partner.
  • Design AI and data strategies covering technology platforms, data foundations, operating models, and talent.
  • Develop business cases, investment profiles, and ROI models to secure funding for transformation roadmaps.
  • Evaluate an organization's AI and data maturity across strategy, talent, and infrastructure.
  • Use scaled agile disciplines to sequence the delivery of critical data elements and products.
  • Infuse ethical Responsible AI principles into projects to build client trust and competitive differentiation.
  • Identify and develop AI-first product strategies and ecosystem partnerships to open new revenue streams.

What we're looking for

  • Must have 5+ years of experience in AI and Data Strategy across enterprise architecture and specific functions like Finance, HR, and Operations.
  • Must have 5+ years of experience in Finance AI and Data work, including understanding CFO organizational operations.
  • Must have 5+ years of experience developing value cases and ROI models to create funded business cases and roadmaps.
  • Must have 5+ years of experience in hands-on data management and analysis for C-suite insights.
  • Must have 5+ years of experience conducting client assessments and requirements gathering.
  • Must have 2+ years of experience applying Responsible AI principles in live engagements.
  • Must have 5+ years of experience leading workstreams end-to-end across complex, multi-stakeholder environments.
  • Must have 5+ years of experience in large-scale global delivery and 5+ years working with corporate or business unit Finance processes.
  • Must have a Bachelor's degree, or an Associate's degree with 6 years of experience, or 12 years of work experience.
  • Must be able to travel up to 80% as needed based on client expectations.
  • Must have strong written and verbal communication skills (preferred).
  • Must have a Master's degree in a relevant field (preferred).

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