Technology Modernization Manager
No salary listed
Expert
Bachelor's, MBA
Pune, Maharashtra, India
In PersonThe posting lists Bangalore, Gurugram, Mumbai, Pune, Chennai, Kolkata, and Hyderabad as work locations.
ConsultingTechnology & Systems Consulting
About the job
Requirements
- A Bachelor’s degree is required; an MBA or equivalent postgraduate qualification is a plus.
- At least 10 years of experience in technology consulting, technology strategy, application modernization, architecture-led transformation, cloud modernization, or large-scale technology transformation advisory.
- Experience working with CIO, CTO, enterprise architecture, application, platform, cloud, data, and business leadership teams to shape modernization strategies and transformation priorities.
- 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.
- Hands-on experience defining modern application architecture patterns and practices.
- Experience with aging and legacy application estates, including non-mainframe legacy applications, custom applications, packaged applications, end-of-life technologies, and fragmented platform landscapes.
- Strong understanding of modernization pathways and the ability to evaluate trade-offs across value, cost, risk, feasibility, and business continuity.
- Experience shaping target-state and transition architecture across application, integration, data, cloud, and platform layers.
- Exposure to modern engineering, cloud, data, and AI-enabled modernization concepts, including DevSecOps, continuous integration and continuous delivery, platform engineering, cloud-native architecture, data modernization, generative AI enablement, and AI-ready application architecture.
- Experience creating executive-ready deliverables such as modernization strategy documents, application portfolio heatmaps, architecture options, roadmap views, business cases, investment options, and CxO-level presentations.
- Experience leading consulting teams, including structuring workplans, guiding analysis, reviewing deliverables, facilitating workshops, and managing senior stakeholder discussions.
- Experience supporting proposal development, solution shaping, strategic pursuits, thought leadership, or practice-building activities in technology modernization or adjacent transformation areas.
- Strong facilitation capability and experience in workshops, design thinking sessions, leadership discussions, and architecture governance forums.
- Strong understanding of how enterprise technology modernization enables business growth, agility, resilience, cost optimization, speed-to-market, and technology simplification.
- Ability to assess complex technology estates across applications, platforms, integrations, data dependencies, artificial intelligence, engineering, infrastructure touchpoints, cloud footprint, vendor ecosystem, and technology debt.
- Strong capability in legacy application modernization, technology debt assessment, modernization prioritization, and investment sequencing across large enterprise landscapes.
- Experience developing modernization value cases that connect technology investments to measurable outcomes such as run-cost reduction, risk reduction, improved resilience, faster change velocity, and business capability enablement.
- Familiarity with modernization operating-model implications, including product-centric delivery, platform operating models, engineering maturity, governance, and change readiness.
- Ability to define data, platform, and architecture enablers required to scale artificial intelligence responsibly across the enterprise value chain.
- Strong understanding of application architecture, integration architecture, data and artificial intelligence architecture, cloud architecture, and transition architecture in modernization contexts.
- Deep understanding of modern application architecture patterns, including domain-driven design, modular architecture, microservices, event-driven architecture, API-led integration, cloud-native application design, and strangler-based modernization.
- Strong understanding of application modernization pathways, including trade-offs across value, cost, risk, feasibility, and business continuity.
- Practical understanding of modern engineering practices such as AI-driven software development life cycle, DevSecOps, continuous integration and continuous delivery, automated testing, observability, infrastructure as code, containerization, Kubernetes, and platform engineering.
- Strong understanding of frameworks and methods such as TOGAF, COBIT, IT4IT, business capability modelling, modernization maturity assessment, and technology value assessment.
- Good understanding of cloud, data, and artificial intelligence architecture concepts, including Azure, AWS, Google Cloud Platform, data lakes, data fabrics, real-time data processing, semantic models, AI/ML integration, generative AI enablement, and AI-ready application architecture.
- Familiarity with platform ecosystems across SAP, Oracle, Salesforce, ServiceNow, hyperscalers, integration platforms, data platforms, observability tools, and engineering toolchains.
- Strong consulting toolkit spanning structured problem solving, assessment design, facilitation, business case development, and executive storytelling.
- Ability to engage senior stakeholders with credibility and clarity, influence client leadership, and create alignment across business and technology teams.
- Experience independently leading client discussions, developing thought leadership, creating modernization narratives, and shaping opportunities.
- Experience leading proposals, strategic pursuits, and senior client relationship development.
Responsibilities
- 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 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 CxO-level 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 holistic solutions 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.
Desired Qualifications
- Understanding of at least one of the following industries: Financial Services, Retail, Consumer Goods, Life Sciences, Telecommunications, Resources, Industrial, Automotive, Travel, or similar sectors.
- An MBA or equivalent postgraduate qualification.
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