Lead design and delivery of enterprise-scale data solutions and platforms; own solutioning, estimation, and proposals; provide technical leadership, governance, and stakeholder engagement to align data strategy with business outcomes.
Key Responsibilities
- Solution Architecture & Design
- Define and design end-to-end data solutions aligned with business objectives.
- Architect scalable, secure, and high-performance data platforms.
- Ensure solutions comply with enterprise standards and industry best practices.
- Solutioning & Estimation
- Lead solutioning efforts including scoping, estimation, and pricing.
- Develop detailed solution blueprints, roadmaps, and implementation plans.
- Collaborate with sales and pre-sales teams to support RFPs, proposals, and client presentations.
- Delivery & Governance
- Oversee solution implementation, ensuring adherence to design principles.
- Provide technical leadership and guidance to delivery teams.
- Establish governance frameworks for solution quality, performance, and compliance.
- Stakeholder Management
- Engage with business leaders, clients, and technical teams to align solution strategies.
- Communicate complex technical concepts in a clear, business-friendly manner.
- Act as a trusted advisor to clients on data strategy and architecture.
Mandatory Skills & Experience
- 15+ years of experience in IT solution architecture, with a focus on data solutions.
- Proven expertise in designing and implementing enterprise-scale data platforms.
- Strong knowledge of cloud ecosystems (Azure, AWS, GCP) and modern data technologies (data lakes, data warehouses, ETL/ELT, big data, analytics, AI/ML).
- Experience in solution estimation, pricing, and proposal development.
- Excellent leadership, communication, and stakeholder management skills.
- Ability to balance technical innovation with business value and cost efficiency.
Preferred Qualifications
- Experience in leading solutioning teams across multiple domains.
- Certifications in cloud architecture (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert).
- Exposure to industry-specific data challenges (e.g., BFSI, healthcare, retail).
Key Responsibilities
- Solution Architecture & Design
- Define and design end-to-end data solutions aligned with business objectives.
- Architect scalable, secure, and high-performance data platforms.
- Ensure solutions comply with enterprise standards and industry best practices.
- Solutioning & Estimation
- Lead solutioning efforts including scoping, estimation, and pricing.
- Develop detailed solution blueprints, roadmaps, and implementation plans.
- Collaborate with sales and pre-sales teams to support RFPs, proposals, and client presentations.
- Delivery & Governance
- Oversee solution implementation, ensuring adherence to design principles.
- Provide technical leadership and guidance to delivery teams.
- Establish governance frameworks for solution quality, performance, and compliance.
- Stakeholder Management
- Engage with business leaders, clients, and technical teams to align solution strategies.
- Communicate complex technical concepts in a clear, business-friendly manner.
- Act as a trusted advisor to clients on data strategy and architecture.
Mandatory Skills & Experience
- 15+ years of experience in IT solution architecture, with a focus on data solutions.
- Proven expertise in designing and implementing enterprise-scale data platforms.
- Strong knowledge of cloud ecosystems (Azure, AWS, GCP) and modern data technologies (data lakes, data warehouses, ETL/ELT, big data, analytics, AI/ML).
- Experience in solution estimation, pricing, and proposal development.
- Excellent leadership, communication, and stakeholder management skills.
- Ability to balance technical innovation with business value and cost efficiency.
Preferred Qualifications
- Experience in leading solutioning teams across multiple domains.
- Certifications in cloud architecture (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert).
- Exposure to industry-specific data challenges (e.g., BFSI, healthcare, retail).
Key Responsibilities
- Solution Architecture & Design
- Define and design end-to-end data solutions aligned with business objectives.
- Architect scalable, secure, and high-performance data platforms.
- Ensure solutions comply with enterprise standards and industry best practices.
- Solutioning & Estimation
- Lead solutioning efforts including scoping, estimation, and pricing.
- Develop detailed solution blueprints, roadmaps, and implementation plans.
- Collaborate with sales and pre-sales teams to support RFPs, proposals, and client presentations.
- Delivery & Governance
- Oversee solution implementation, ensuring adherence to design principles.
- Provide technical leadership and guidance to delivery teams.
- Establish governance frameworks for solution quality, performance, and compliance.
- Stakeholder Management
- Engage with business leaders, clients, and technical teams to align solution strategies.
- Communicate complex technical concepts in a clear, business-friendly manner.
- Act as a trusted advisor to clients on data strategy and architecture.
Mandatory Skills & Experience
- 15+ years of experience in IT solution architecture, with a focus on data solutions.
- Proven expertise in designing and implementing enterprise-scale data platforms.
- Strong knowledge of cloud ecosystems (Azure, AWS, GCP) and modern data technologies (data lakes, data warehouses, ETL/ELT, big data, analytics, AI/ML).
- Experience in solution estimation, pricing, and proposal development.
- Excellent leadership, communication, and stakeholder management skills.
- Ability to balance technical innovation with business value and cost efficiency.
Preferred Qualifications
- Experience in leading solutioning teams across multiple domains.
- Certifications in cloud architecture (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert).
- Exposure to industry-specific data challenges (e.g., BFSI, healthcare, retail).
EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com.
EXL Pune, Mahārāshtra, IND Office
Pune, India
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