Enterprise AI Value Strategy Manager - Technology Strategy & Transformation
About the job
- At least 10 years of overall experience, including AI and data projects.
- Experience delivering high-value consulting and large-scale projects with minimal oversight.
- Experience leading at least one end-to-end process reengineering or reinvention engagement.
- Experience with process modelling and requirements definition at enterprise scale.
- Awareness of AI governance and regulation, including the EU AI Act and model risk.
- Structured problem-solving and program management capabilities.
- Technical depth and agentic system build experience in at least one platform or functional area, such as Google Cloud Platform, Amazon Web Services, Snowflake, Databricks, Azure, or Anthropic.
- Deep experience in at least one cloud platform, data platform, or foundation model, with broad credibility across all three categories.
- Familiarity with agentic artificial intelligence systems sufficient to evaluate where autonomous systems create value and to shape platform and model choices with client technology leadership.
- Recognized depth in at least one priority industry: consumer goods, retail, life sciences, or banking, including knowledge of its core processes.
- A bachelor's degree in a relevant discipline.
- Lead discovery workshops with business stakeholders to identify pain points, opportunities, and artificial intelligence transformation use cases.
- Design and articulate end-to-end agentic solutions for enterprise process or functional use cases, including agent hierarchies, target-state agentic architecture, value streams, agent interaction models, and transformation roadmaps.
- Assess enterprise data maturity, governance, and technology readiness to shape scalable artificial intelligence adoption.
- Lead solution definition across business, architecture, data, and engineering teams, ensuring end-to-end traceability from business value to implementation.
- Develop value frameworks for agentic artificial intelligence in the relevant industry and client context, and use them to build executive business cases covering value estimates, investment requirements, key performance indicators, and benefits realization.
- Drive business readiness and change management by defining stakeholder engagement, communication, training, and adoption plans for artificial intelligence transformation initiatives.
- Own process-reinvention engagements, redesigning complex enterprise processes as agentic, artificial-intelligence-first processes from current-state diagnosis through agent architecture to realized value, and manage delivery and the client relationship.
- Help enterprises adopt artificial-intelligence-native software delivery at scale and translate transformation ambitions into measurable outcomes.
- Define artificial-intelligence-powered software delivery transformation strategies and executable approaches, including target-state software development life cycles, platform and tooling strategy and architecture, engineering productivity measures, delivery operating-model changes, and measurable value realization.
- Engage with client C-suite stakeholders, including CIOs, CTOs, CDOs, and engineering leaders, to rethink how software is imagined, designed, built, tested, secured, and delivered using artificial intelligence.
- Lead work across business, architecture, data, and engineering teams and manage senior stakeholders.
- Experience defining enterprise data strategies, data products, and artificial-intelligence-ready data foundations.
- Exposure to knowledge architecture, semantic layers, and enterprise knowledge management.
- Experience designing artificial intelligence governance frameworks, operating models, and organizational readiness for artificial intelligence adoption.
- Experience leading cross-functional delivery teams.
- A Master of Business Administration is preferred.
About the company
Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.
Company Size
10,001+
Company Stage
IPO
Headquarters
Dublin, Ireland
Founded
1989
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Simplify's Take
What believers are saying
- Business demand grew: October 2026 results showed $74.2 billion annual revenue, up 5% in local currency.
- Eligible US employees buy discounted stock: Accenture's purchase plan sells shares at 15% below market price.
- Client relationships run deep: Accenture has worked with 195 of its top 200 customers for more than ten years.
What critics are saying
- Bookings are not guaranteed revenue: most Accenture contracts let clients cancel quickly with little or no penalty.
- Promotions require AI adoption: Accenture's CEO said in March 2026 that employees must use its tools effectively.
- Federal hiring practices proved costly: Accenture settled discrimination allegations for $25 million in September 2026, without a liability finding.
What makes Accenture unique
- Its AI platform switches models: AI Refinery selects among prebuilt models according to cost, performance and other requirements.
- Accenture owns specialist Microsoft expertise: it cofounded the Microsoft-focused Avanade consultancy with the software maker.
- Consulting includes creative agencies: Accenture Song owns businesses spanning advertising, digital product design and customer engagement.
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Benefits
Health Insurance
Professional Development Budget
401(k) Retirement Plan
401(k) Company Match
Company News
Accenture will hold an Investor Day on October 14, where it is expected to detail its long-term strategy, AI monetisation plans, growth guidance, and margin expansion goals. The event follows a rebound in its shares after fears that AI would erode traditional consulting work. The stock hit a low of $118.15 in June, down from a January high of $291.09. It has since gained nearly 77%, helped by fourth-quarter results on October 1 and an expanded collaboration with Dell Technologies. Fourth-quarter revenue rose 6% to $18.7 billion, and new bookings reached $22.2 billion. Accenture expects fiscal 2027 revenue growth of 3% to 6% in local currency. It raised its quarterly dividend by 5% to $1.71 per share, payable November 13, 2026. Its market capitalisation is about $139.6 billion.
Accenture has acquired Sagacity, a London-based data and customer intelligence firm, to strengthen Accenture Song's AI-powered customer services. The deal brings more than 140 professionals to Accenture Song's UK and Ireland operations. Terms were not disclosed. Founded in 2005 by Anita Dougall, Malka Townshend, and Harry Dougall, Sagacity offers data assets, AI-enabled technology, and customer intelligence expertise. Accenture says clients want to connect data, AI, and operations into unified programmes that deliver measurable results. The move targets industries with large customer bases, such as utilities, retail, banking, and telecommunications. "Sagacity's deep expertise and outcome-focused approach will enhance our ability to help clients turn insight into action," said Sohel Aziz, senior managing director of Accenture Song, UK and Ireland.
TM Forum has launched a multi-year Trustworthy AI programme with Accenture to help telecoms deploy autonomous operations with verifiable trust standards. The initiative will deliver the industry's first Trustworthy AI Governance Certification, providing a benchmark for trusted AI deployment. Recent TM Forum research found that whilst 72% of communications service providers believe their AI capabilities are trustworthy, only 14% can verify their claims. The programme aims to transform AI trust from aspiration into measurable operational capability. The certification will help organisations assess governance maturity, workforce readiness, and operational accountability needed to scale AI autonomously. It will operate through TM Forum's AI-Native Collaboration Studios, where telecoms operators, vendors, and partners will contribute real-world use cases to shape the framework.
Accenture reported revenue of nearly $74.2 billion for fiscal year 2026, up 6.5% year-over-year, with net income of roughly $8.5 billion. The professional services firm serves approximately 9,000 clients globally with 814,000 employees. Microsoft generated revenue of nearly $331.8 billion in FY 2026, a 17.8% increase, with net income of approximately $133.7 billion. The company's net margin reached close to 40.3%. Both companies maintained a debt-to-equity ratio of approximately 0.3x. Microsoft's free cash flow reached nearly $67.0 billion, whilst Accenture's was roughly $11.6 billion. Accenture recently addressed a $25 million settlement with the Department of Justice regarding federal contracting practices. Microsoft faces securities fraud class action lawsuits involving AI and Copilot claims, alongside antitrust scrutiny and an IRS tax audit.
Accenture shares surged 17% on Thursday after reporting strong fourth-quarter results. The company posted revenue of $18.7 billion, up 6% year-over-year, while earnings per share jumped 46% to $3.29. Management's full-year revenue growth forecast of 4.5% exceeded analyst expectations of 4%. Net bookings rose 4% to $22.2 billion. The company plans to return at least $9.5 billion to shareholders this financial year. However, TD Cowen analyst Bryan Bergin maintained a hold rating, citing concerns that the stock is fully priced at 15 times forward earnings. He cautioned that one strong quarter may represent a cyclical bounce rather than structural growth acceleration. Despite this, Wall Street remains optimistic, with a "moderate buy" consensus rating. Accenture currently offers a 3.05% dividend yield.