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**Senior Data Solution Architect** at EY GDS Consulting. Lead AI & Data program delivery, architecting end-to-end enterprise platforms. Key responsibilities: complex problem-solving, architecture definition, program structuring, AI/genAI enablement, and cross-functional leadership. Requires 15+ years in data platforms, cloud solutions, and enterprise-scale AI/Data architecture. Must-have skills: cloud data platforms (AWS/Azure), Databricks, Snowflake, AI/ML expertise, program management, and executive communication. Drive AI-first architecture, balancing cost, latency, scalability, and risk.
- Compensation
- Not specified
- City
- Hyderabad
- Country
- India
Currency: Not specified
Full Job Description
At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
Job Title: Senior Manager Senior Data Solution Architect
Role Overview
We are seeking a Senior Data Solution Architect to lead the architecture, program delivery, and solutioning of complex enterprise AI & Data use cases on modern analytics platforms.
This role is designed for a hands-on, deeply technical leader who can operate across presales, solution design, program management, and delivery governance, and who excels at translating business problems into scalable, production-grade AI & Data architectures.
The role requires a strong blend of architecture depth, AI expertise, structured program execution, and executive-level communication, working across senior stakeholders in complex transformation programs.
What Youll Do
1. Solution Complex AI & Data Problems for Enterprise Clients
- Engage with senior business, data, and technology stakeholders to understand complex AI & Data requirements
- Lead solution discovery, architecture definition, and structured program planning
- Translate business objectives into scalable AI & Data architectures and execution roadmaps
- Own outcomes from problem definition through architecture sign-off and program mobilization
2. Architect End-to-End Enterprise Data Platforms
- Design enterprise-scale architectures using:
- Cloud platforms (AWS/Azure),Databricks), Data Governance frameworks
- Define enterprise data platform patterns (Bronze/Silver/Gold layers, semantic layer, data modeling)
- Ensure solutions meet performance, scalability, cost, security, and compliance requirements
- Align architecture with enterprise data governance and regulatory standards
3. Enable AI, Advanced Analytics & GenAI Use Cases
- Architect AI-enabled platforms leveraging:
- Azure AI / AWS AI Services / GenAI capabilities
- Design solutions supporting:
- Intelligent insights and advanced analytics
- AI-augmented BI and decision intelligence
- Responsible, secure, and scalable GenAI adoption
- Drive AI-first architecture thinking, balancing trade-offs across cost, latency, scalability, and risk
4. Program Management & Delivery Leadership
- Lead end-to-end program structuring for AI & Data initiatives, including:
- Work breakdown, milestones, and execution planning
- Risk identification, dependency management, and mitigation strategies
- Drive cross-functional coordination across architecture, engineering, business, and governance teams
- Establish delivery governance frameworks, ensuring alignment to architecture and timelines
- Track program progress, value realization, and executive reporting metrics
- Ensure seamless transition from solution design program execution value realization
5. Presales, Solution Shaping & Client Advisory
- Lead presales and solution shaping activities, including:
- Discovery workshops and stakeholder alignment
- End-to-end solution design and storytelling
- RFP responses, estimations, and proposal development
- Partner with leadership to define differentiated AI & Data solutions
- Act as a trusted advisor, articulating value, architecture, and execution approach to clients
6. Guide Delivery & Architecture Governance
- Work closely with engineering teams to:
- Validate architecture feasibility
- Guide implementation decisions and integration patterns
- Ensure architecture consistency across build, deployment, and production
- Support operational readiness, observability, and platform sustainability
7. Define Reusable Architecture Assets & Best Practices
- Develop reference architectures, solution blueprints, and reusable assets
- Codify best practices for:
- AI-ready data platform
- Modern Data Platforms
- Scalable AI and data architectures
- Contribute to organizational IP and standards
Core Requirements
Experience
- 15+ years in data platforms, AI/analytics architecture, or cloud solutions
- Proven experience in enterprise-scale AI & Data platform architecture
- Strong exposure to program management / large transformation delivery
- Hands-on experience in presales and solution shaping (mandatory)
- Experience in client-facing consulting environments
Skills (Enhanced Focus Areas)
Architecture & AI Expertise
- Deep expertise in cloud data platforms, AI/ML, and GenAI ecosystems
- Strong understanding of data governance, data modeling, and analytics architecture
- Ability to design AI-first data platforms and intelligent systems
Program Management
- Strong capability in program structuring, planning, and execution tracking
- Experience managing large, multi-stakeholder transformation programs
- Ability to balance architecture integrity with delivery timelines and risks
Communication & Stakeholder Management
- Exceptional executive communication and storytelling skills
- Ability to translate complex technical concepts into business value narratives
- Proven capability to influence CXOs, senior leadership, and cross-functional teams
- Strong facilitation and negotiation skills
Added Advantage
- Experience with Databricks, Snowflake, and multi-platform data ecosystems
- Exposure to hybrid and multi-cloud architectures
- Experience in AI-led data modernization or transformation programs
What This Role Is NOT
- Not a pure hands-on development role
- Not a standalone program manager role (requires deep architecture ownership)
- Not limited to BI/reporting or tool configuration
- Primary ownership combines architecture + AI strategy + program leadership
EY | Building a better working world
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
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EY - GDS Consulting - AI And DATA - Senior Data Solution Architect
Compensation
Not specified
City: Hyderabad
Country: India
**Senior Data Solution Architect** at EY GDS Consulting. Lead AI & Data program delivery, architecting end-to-end enterprise platforms. Key responsibilities: complex problem-solving, architecture definition, program structuring, AI/genAI enablement, and cross-functional leadership. Requires 15+ years in data platforms, cloud solutions, and enterprise-scale AI/Data architecture. Must-have skills: cloud data platforms (AWS/Azure), Databricks, Snowflake, AI/ML expertise, program management, and executive communication. Drive AI-first architecture, balancing cost, latency, scalability, and risk.
Full Job Description
At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
Job Title: Senior Manager Senior Data Solution Architect
Role Overview
We are seeking a Senior Data Solution Architect to lead the architecture, program delivery, and solutioning of complex enterprise AI & Data use cases on modern analytics platforms.
This role is designed for a hands-on, deeply technical leader who can operate across presales, solution design, program management, and delivery governance, and who excels at translating business problems into scalable, production-grade AI & Data architectures.
The role requires a strong blend of architecture depth, AI expertise, structured program execution, and executive-level communication, working across senior stakeholders in complex transformation programs.
What Youll Do
1. Solution Complex AI & Data Problems for Enterprise Clients
- Engage with senior business, data, and technology stakeholders to understand complex AI & Data requirements
- Lead solution discovery, architecture definition, and structured program planning
- Translate business objectives into scalable AI & Data architectures and execution roadmaps
- Own outcomes from problem definition through architecture sign-off and program mobilization
2. Architect End-to-End Enterprise Data Platforms
- Design enterprise-scale architectures using:
- Cloud platforms (AWS/Azure),Databricks), Data Governance frameworks
- Define enterprise data platform patterns (Bronze/Silver/Gold layers, semantic layer, data modeling)
- Ensure solutions meet performance, scalability, cost, security, and compliance requirements
- Align architecture with enterprise data governance and regulatory standards
3. Enable AI, Advanced Analytics & GenAI Use Cases
- Architect AI-enabled platforms leveraging:
- Azure AI / AWS AI Services / GenAI capabilities
- Design solutions supporting:
- Intelligent insights and advanced analytics
- AI-augmented BI and decision intelligence
- Responsible, secure, and scalable GenAI adoption
- Drive AI-first architecture thinking, balancing trade-offs across cost, latency, scalability, and risk
4. Program Management & Delivery Leadership
- Lead end-to-end program structuring for AI & Data initiatives, including:
- Work breakdown, milestones, and execution planning
- Risk identification, dependency management, and mitigation strategies
- Drive cross-functional coordination across architecture, engineering, business, and governance teams
- Establish delivery governance frameworks, ensuring alignment to architecture and timelines
- Track program progress, value realization, and executive reporting metrics
- Ensure seamless transition from solution design program execution value realization
5. Presales, Solution Shaping & Client Advisory
- Lead presales and solution shaping activities, including:
- Discovery workshops and stakeholder alignment
- End-to-end solution design and storytelling
- RFP responses, estimations, and proposal development
- Partner with leadership to define differentiated AI & Data solutions
- Act as a trusted advisor, articulating value, architecture, and execution approach to clients
6. Guide Delivery & Architecture Governance
- Work closely with engineering teams to:
- Validate architecture feasibility
- Guide implementation decisions and integration patterns
- Ensure architecture consistency across build, deployment, and production
- Support operational readiness, observability, and platform sustainability
7. Define Reusable Architecture Assets & Best Practices
- Develop reference architectures, solution blueprints, and reusable assets
- Codify best practices for:
- AI-ready data platform
- Modern Data Platforms
- Scalable AI and data architectures
- Contribute to organizational IP and standards
Core Requirements
Experience
- 15+ years in data platforms, AI/analytics architecture, or cloud solutions
- Proven experience in enterprise-scale AI & Data platform architecture
- Strong exposure to program management / large transformation delivery
- Hands-on experience in presales and solution shaping (mandatory)
- Experience in client-facing consulting environments
Skills (Enhanced Focus Areas)
Architecture & AI Expertise
- Deep expertise in cloud data platforms, AI/ML, and GenAI ecosystems
- Strong understanding of data governance, data modeling, and analytics architecture
- Ability to design AI-first data platforms and intelligent systems
Program Management
- Strong capability in program structuring, planning, and execution tracking
- Experience managing large, multi-stakeholder transformation programs
- Ability to balance architecture integrity with delivery timelines and risks
Communication & Stakeholder Management
- Exceptional executive communication and storytelling skills
- Ability to translate complex technical concepts into business value narratives
- Proven capability to influence CXOs, senior leadership, and cross-functional teams
- Strong facilitation and negotiation skills
Added Advantage
- Experience with Databricks, Snowflake, and multi-platform data ecosystems
- Exposure to hybrid and multi-cloud architectures
- Experience in AI-led data modernization or transformation programs
What This Role Is NOT
- Not a pure hands-on development role
- Not a standalone program manager role (requires deep architecture ownership)
- Not limited to BI/reporting or tool configuration
- Primary ownership combines architecture + AI strategy + program leadership
EY | Building a better working world
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
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