Associate Director, Data Analytics & AI - Solution Architect

Overview

Serve as a Solution Architect for Data Analytics & AI, leading forward-looking enterprise architecture across Data & Analytics, Intelligent Automation, and AI domains. Collaborate across business and IT teams to drive scalable, compliant, cost-effective solutions and incremental value through reusable technology products.

What you'll do

• Design and evaluate scalable solution architectures across Data & Analytics, Intelligent Automation, and AI domains.
• Analyze current architectures, identify gaps, and recommend improvements for scalability, performance, and cost efficiency.
• Define and evolve target-state architectures for Data & Analytics and Intelligent Automation platforms across business functions.
• Collaborate with developers, product owners, and architects to ensure seamless integration and compliance.
• Champion governance practices, apply architectural frameworks, and drive innovative solutions.
• Monitor industry and technology trends to shape architecture roadmaps and guide adoption of capabilities such as GenAI and self-service analytics.
• Align solution architecture with business strategy, advocate for user-centric design principles, and manage technical debt with remediation strategies.
• Evaluate the financial impact of architectural alternatives to ensure cost-effective, value-driven solutions.
• Lead agile delivery of reusable technology products that support the long-term architectural vision and deliver incremental value.
• Promote DevSecOps, platform automation, and modern engineering practices to enhance delivery and operational excellence.
• Build strong networks across business and IT and contribute to communities of practice and architectural forums.

What you'll need

• Bachelor’s degree with a concentration in Computer Science, Information Systems, or a related field.
• 10+ years of experience spanning IT disciplines including solution architecture, systems integration, and end-to-end system design across data, application, and platform layers.
• Strong understanding of IT, Solution & Data architecture principles, data platforms, business process management, and enterprise technology reuse.
• Ability to analyze, design, and implement solutions based on current and future state architectures and reference models.
• Ability to define high-level requirements, guide solution decisions, and provide architectural blueprints for engineering teams.
• Proficiency in Data and Analytics platforms, Intelligent Automation tools, Artificial Intelligence technologies and platforms, Data Lakehouse architecture, Data quality, and Lineage & Cataloging tools.
• Familiarity with cloud-native platforms such as AWS and Azure, CI/CD pipelines, observability, infrastructure as code, GenAI, machine learning lifecycle, intelligent automation platforms, and orchestration frameworks.
• Deep understanding of System Development Life Cycle (SDLC), SOX, GxP, and data privacy regulations in enterprise environments.
• Strong leadership in strategic planning, innovation, talent development, and execution excellence.
• Ability to influence cross-functional teams, drive alignment with enterprise goals, and articulate architecture rationale and trade-offs to stakeholders with varying technical acumen.
• Required skills include Artificial Intelligence (AI), Data Analytics, Data Modeling, Design Applications, Generative AI, Release Management, Requirements Management, Solution Architecture, System Designs, and System Integration.

Nice to have

• Proven ability to lead and manage cross-functional teams in a dynamic environment.
• Advanced certifications in related fields such as TOGAF or other architecture-related credentials, AI, Data Science, or Automation.
• Functional familiarity with one or more enterprise platforms such as SAP, ServiceNow, or Workday.
• Experience architecting enterprise-scale data, AI, or automation solutions, preferably in Life Sciences or equivalent regulated industries.
• Proficiency in GenAI architecture and ability to articulate reference architecture for AI / LLMOps.
• Preferred skill: Database Modeling.

Details

• Location: Hyderabad, Telangana, India.
• Flexible work arrangement: Hybrid.
• Employee status: Regular.
• Relocation: Domestic.
• Visa sponsorship: No.
• Travel: No travel required.
• Valid driving license: No.
• Shift: Not indicated.