Technology Modernization Manager
About the job
- A Bachelor's degree is required.
- At least 10 years of experience in technology consulting, technology strategy, application modernization, architecture-led transformation, cloud modernization or large-scale technology transformation advisory is required.
- Experience working with CIO, CTO, enterprise architecture, application, platform, cloud, data and business leadership teams to shape modernization strategies and transformation priorities is required.
- Hands-on experience defining and driving at least two technology modernization engagements for a client with a large IT landscape, including portfolio prioritization that minimizes business continuity risk, is required.
- Hands-on experience defining modern application architecture patterns and practices is required.
- Experience with aging and legacy application estates, including non-mainframe legacy applications, custom applications, packaged applications, end-of-life technologies and fragmented platform landscapes, is required.
- Strong understanding of modernization pathways, including the ability to evaluate trade-offs across value, cost, risk, feasibility and business continuity, is required.
- Experience shaping target-state and transition architecture across application, integration, data, cloud and platform layers is required.
- Exposure to modern engineering, cloud, data and artificial-intelligence-enabled modernization concepts, including DevSecOps, continuous integration and continuous delivery, platform engineering, cloud-native architecture, data modernization, generative artificial intelligence enablement and artificial-intelligence-ready application architecture, is required.
- Experience creating executive-ready deliverables such as modernization strategy documents, application portfolio heatmaps, architecture options, roadmap views, business cases, investment options and C-suite presentations is required.
- Experience leading consulting teams, including structuring workplans, guiding analysis, reviewing deliverables, facilitating workshops and managing senior stakeholder discussions, is required.
- Experience supporting proposal development, solution shaping, strategic pursuits, thought leadership or practice-building activities in technology modernization or adjacent transformation areas is required.
- Strong facilitation capability with experience in workshops, design thinking sessions, leadership discussions and architecture governance forums is required.
- Lead enterprise-wide technology modernization strategy engagements across complex technology landscapes.
- Define modernization ambition, strategic intent and business-aligned technology modernization priorities.
- Assess current-state technology estates across applications, platforms, architecture, integration, data, infrastructure and vendor ecosystems.
- Identify modernization opportunities, technical debt, architecture constraints, platform gaps, business risks and value pools.
- Shape target-state architecture and reference technology stacks aligned to business priorities and enterprise architecture direction.
- Define modernization guiding principles and decision and prioritization frameworks to support consistent technology choices.
- Advise on vendor, platform and ecosystem strategy, including the fitment of cloud platforms, enterprise platforms, integration platforms and modernization partners.
- Build multi-year modernization roadmaps sequenced by business value, technical dependencies, cost, risk, complexity and readiness.
- Develop modernization value cases linking technology investments to measurable outcomes such as agility, resilience, scalability, cost efficiency, reduced technology debt and speed to market.
- Lead application estate assessments covering business criticality, technical health, architecture fit, complexity, dependencies, cost, resilience, scalability and modernization potential.
- Assess aging and legacy application estates, including non-mainframe legacy applications, to identify technical debt, business risk, modernization constraints and transition priorities.
- Define application modernization pathways for target applications.
- Conduct application decomposition and domain analysis to identify modernization boundaries, dependency clusters, migration waves and sequencing options.
- Shape target application architecture and transition architecture across applications, platforms, integration and data dependencies.
- Define phased modernization approaches, coexistence models, migration plans and dependency management approaches that protect business continuity.
- Advise on modernization patterns such as modular architecture, API-led integration, microservices, event-driven architecture, cloud-native enablement, the strangler pattern and platform-based modernization.
- Support data liberation and migration considerations required to reduce dependency on aging systems and enable future-ready application architecture.
- Develop application modernization roadmaps and value cases aligned to enterprise modernization strategy, architecture direction and business priorities.
- Lead C-suite conversations on technology modernization priorities, application modernization choices, architecture implications, investment trade-offs and enterprise transformation decisions.
- Serve as a trusted advisor to CIO, CTO, enterprise architecture and business leadership teams on modernization strategy, sequencing choices and strategic technology decisions.
- Translate complex modernization and architecture topics into clear executive recommendations, decision options and leadership-ready points of view.
- Support strategic pursuits, client account development and growth initiatives through differentiated modernization propositions and executive-ready solution narratives.
- Shape client opportunities by bringing together various Accenture capabilities to provide a holistic solution to clients.
- Develop thought leadership, market perspectives, offering assets and reusable modernization frameworks.
- Lead and mentor teams across discovery, modernization assessment, strategy development, roadmap creation and senior stakeholder engagement.
- An MBA or equivalent postgraduate qualification is a plus.
- Understanding of at least one industry across Financial Services, Retail, Consumer Goods, Life Sciences, Telecommunications, Resources, Industrial, Automotive, Travel or similar sectors 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
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Company News
Accenture (NYSE: ACN) is betting on enterprise AI as its main growth engine. At its Investor and Analyst Day, the company targeted at least mid-single-digit constant-currency revenue growth in fiscal 2027 and 2028, rising to mid- to high-single-digit growth from fiscal 2029. Chief executive officer Julie Sweet said AI will create new demand that exceeds work lost to automation. The company has grown its AI and data workforce from 40,000 to nearly 110,000. Accenture plans to return $9.5 billion to shareholders in fiscal 2027 and spend about $5 billion on acquisitions. It expects annual operating-margin growth of 10 to 30 basis points. Its network of specialised businesses, now 6% of revenue, could double by fiscal 2029. Fiscal 2026 revenue was $74.2 billion, up 5% in local currency.
Accenture shares rose 10.4% after the company reported higher sales and earnings for its fourth quarter and full year in early October 2026. It confirmed fiscal 2027 guidance, raised its quarterly dividend to $1.71 per share, and completed a long-running share repurchase program. The company also expanded its AI alliances with Dell and Workday and acquired Sagacity. It aims to embed agentic AI into client functions such as HR, finance, and customer engagement. Accenture's narrative projects $86.3 billion in revenue and $10.3 billion in earnings by 2029, up from $8.4 billion today. Pricing pressure and slower discretionary spending remain the main risks.
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.