Data Modernization Solution Architect Manager

Role Overview – Solution Architect (AI & Data) As a Presales Solution Architect, you will lead the end-to-end solution blueprint and roadmap, acting as the bridge between client vision and technology execution. You will be instrumental in translating business problems into technology solutions and having stakeholder alignment throughout the deal lifecycle. What is in it for you? In this role, you’ll gain experience in designing AI/Gen AI & Data modernization/migration solutions, working across global delivery and sales teams. You will work cross clouds, cross industry cross geography giving depth and breadth of exposure.  You’ll also deepen your expertise in in emerging technologies like Databricks, Snowflake —preparing you for the future. Key Responsibilities Understand RFP/RFIs and translate the business needs into technical architecture (data engineering, data visualization, AI, Gen AI). Define end-to-end application architectures diagrams (data ingestion to data consumption to AI/ML). Align technology components (e.g. Informatica, Power BI, PySpark, Azure ML, Azure Foundry) with business use cases. Prepare detailed ADM effort estimates and get them validated with AI & Data capability SMEs. Design optimal staffing models based on onshore/offshore/nearshore mix and pyramid structure. Build solution plan power point decks for use in sales and delivery alignment. Engage in solution and delivery reviews with leadership across geographies. Act as the strategic link between sales and delivery teams. Contribute to client-facing proposals, SOWs, and contracting documents. Present and defend your solution in internal and external forums. Seamlessly transition the solution to the delivery team post-deal closure. Required Skills & Experience CommonMust Have: Strong Data and/or AI experience in SI/application development or application maintenance projects Working knowledge of cloud ecosystems – Azure or AWS, or Google Cloud. Basic proficiency in Microsoft Excel (Pivot tables, filters, vlookup etc.). Good to Have: Good PowerPoint skills for leadership storytelling. Exceptional stakeholder management and communication skills. Experience working in cross-functional and global environments. Additional Details Experience: Minimum 12 years of relevant IT industry experience in AI & Data delivery Location: Pan-India (open to various locations). Education: 15 years of full-time education required Important Notice We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. No one is ever required to pay for employment at Accenture. If you are contacted by someone asking for payment, please do not respond, and contact us at india.fc.check@accenture.com immediately. Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.