Data Modernization Presales Solution Architect (CL5)

About The Role

Accenture is seeking an experienced Data Modernization Presales Solution Architect to lead the design and shaping of end-to-end data modernization solutions for enterprise clients. This role bridges business strategy and technology execution, translating complex client requirements into scalable, cloud-native data, analytics, AI, and GenAI architectures while driving stakeholder alignment throughout the deal lifecycle.

Key Responsibilities

Lead solutioning activities for Data Modernization opportunities, including RFPs, RFIs, proposals, and client discussions.

Design end-to-end data and analytics architectures covering data ingestion, transformation, storage, visualization, AI/ML, and GenAI capabilities.

Define and evaluate architecture patterns, providing clear recommendations, trade-offs, and business rationale.

Align technology platforms and tools with client requirements across cloud ecosystems and modern data platforms.

Develop effort estimates, delivery approaches, staffing models, and productivity levers to support competitive and scalable solutions.

Collaborate with sales, delivery, and capability teams across geographies to ensure solution feasibility and alignment.

Present and defend solution strategies to senior leadership, clients, and key stakeholders.

Support proposal development, Statements of Work (SOWs), and successful transition to delivery teams upon deal closure.

Required Qualifications

Minimum 12 years of experience in AI & Data delivery, solution architecture, or presales roles within system integration or application development environments.

Strong solutioning experience in Data Engineering, Data Platforms, and Business Intelligence solutions.

Working knowledge of at least one major cloud platform: Azure, AWS, or Google Cloud Platform.

Experience designing modern data architectures leveraging technologies such as Databricks, Snowflake, BigQuery, Azure Data Services, AWS Data Services, or similar platforms.

Ability to define solution productivity drivers and articulate associated business value.

Understanding of Agentic AI, Generative AI, and future-ready operating models within data modernization programs.

Strong stakeholder management, communication, and presentation skills.

Experience working with global, cross-functional, and multicultural teams.

Proficiency in Microsoft Excel for solution sizing, estimation, and commercial analysis.

Preferred Qualifications

Experience in client-facing consulting, solutioning, or large-scale transformation pursuits.

Strong PowerPoint and executive storytelling skills.

Exposure to multi-cloud data transformation and modernization programs.

Experience supporting large-scale proposal and contracting processes.