Enterprise Architecture, Data & Analytics

HypTechie; Karnataka; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

HypTechie in India is seeking an Enterprise Architecture, Data & Analytics leader with 20+ years to drive strategy and platform modernization across the organization. The role demands hands-on expertise in data, analytics, and AI, and ability to scale CoEs globally.

You will shape cloud and data governance, design Azure data lakes, and partner with business leaders to translate insights into decisions while ensuring regulatory compliance in Life Sciences or related regulated sectors.

Qualifications

• 20+ years leading Data & Analytics programs and enterprise architectures.
• Experience building global CoEs and data platforms in cloud environments.
• Strong governance, data quality, and regulatory compliance experience (GxP, GDPR).
• Excellent stakeholder management and strategic communication.
• Hands-on with data modeling, BI, and AI/ML platforms.

Responsibilities

• Define enterprise Data, Analytics, and AI strategies aligned to business goals.
• Scale Data & Analytics CoE for agility and long-term innovation.
• Design secure Azure-based Data Lakes and data platforms.
• Lead data governance, metadata, lifecycle, and master data management.
• Collaborate with global teams to operationalize insights.
• Foster data-driven culture across business units.

Skills

Enterprise Architecture

Data & Analytics

AI / GenAI

Cloud Architecture

Data Lake

Data Governance

Stakeholder Management

Leadership

Regulated Environments

Agile / Scrum

Education

Bachelor's in CS/Engineering

Master's degree preferred

Tools

Azure

SQL

Python

Power BI

ETL / Data Integration

Job description

Experience: 20 – 25 Years

Education: B.E. / B.Tech. (Computer Science, Engineering, or related field) | Master’s preferred

Role Summary

We are seeking a highly accomplished Enterprise Architecture, Data & Analytics leader to drive strategic architecture, advanced analytics, automation, and AI capabilities across the organization. The ideal candidate will have 20+ years of proven leadership experience in setting up and scaling Data & Analytics Centers of Excellence (CoEs), with deep expertise in Cloud, Data Lakes, AI/GenAI, and enterprise platforms. This role demands hands‑on expertise in Data, Analytics, and AI, along with the ability to influence business strategy, manage stakeholder expectations, and drive innovation across regulated and complex enterprise environments.

Key Responsibilities

Strategic Architecture & Planning

• Define and implement enterprise-wide Data, Analytics, and AI strategies aligned with business goals.
• Establish and scale the Data & Analytics CoE ensuring agility, scalability, and long-term innovation.

Data Lake Architecture

• Design, implement, and manage secure, scalable Azure Data Services-based Data Lakes.
• Enable integration of structured, semi-structured, and unstructured data for enterprise-wide analytics.

Data Management & Governance

• Lead enterprise data management covering metadata, lifecycle, and master data management.
• Implement data governance frameworks ensuring compliance with regulatory standards (GxP, GDPR, etc.).
• Drive initiatives to enhance data quality, consistency, and accessibility.

Analytics & Data Science

• Architect advanced analytics platforms for BI, predictive modeling, and data science.
• Collaborate with cross-functional teams to operationalize insights for business decision-making.
• Foster a data-driven culture across global business units.

Professional Experience & Qualifications

• 20–25 years of proven expertise in Enterprise Data Architecture, Analytics, and AI/ML platforms.
• Strong leadership in building and leading global Data & Analytics CoEs.
• In-depth knowledge of cloud and hybrid data platforms with security-first design.
• Hands‑on expertise in data modeling (logical, physical, semantic, integration) and solution design patterns.
• Experience in regulated industries (Life Sciences preferred).
• Familiarity with RPA, CRM systems, ERP, Middleware, and Web/App platforms.
• Strong knowledge of Agile/Scrum methodologies.
• Excellent stakeholder management, strategic thinking, and communication skills.