Data Modernization Solution Architect Manager

Accenture in India; Dadri; On-site; INR 2,500,000 - 5,500,000; Full time

Job summary

Accenture in India is seeking a Presales Solution Architect (AI & Data) to lead end-to-end solution blueprint and roadmap, translating client vision into technology execution. You will bridge business problems with technology and align stakeholders throughout the deal lifecycle.

You’ll design AI/Gen AI and data modernization solutions, collaborate across global delivery and sales teams, and work across clouds and geographies, shaping ready-to-deliver architectures for client engagements.

Qualifications

• Must have strong Data and/or AI experience in SI/application development or maintenance projects.
• Working knowledge of cloud ecosystems – Azure, AWS, or Google Cloud.
• Basic proficiency in Microsoft Excel (Pivot tables, filters, vlookup).
• Good PowerPoint skills for leadership storytelling.
• Exceptional stakeholder management and communication skills.
• Experience working in cross-functional and global environments.

Responsibilities

• Understand RFP/RFIs and translate 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 with business use cases (e.g. Informatica, Power BI, PySpark, Azure ML, Azure Foundry).
• Prepare ADM effort estimates and validate with capability SMEs.
• Design staffing models based on onshore/offshore/nearshore mix.
• Build solution plan decks for sales and delivery alignment.
• Engage in solution and delivery reviews with leadership across geographies.

Skills

Data & AI experience

Cloud knowledge

Excel proficiency

PowerPoint storytelling

Stakeholder management

Cross-functional collaboration

Tools

Informatica

Power BI

PySpark

Azure ML

Azure Foundry

Job description

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 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

• Common
  • Must 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.