Senior Enterprise Architect

2 days ago

Bengaluru, Karnataka, India beBeeEnterprise Full time ₹ 1,20,00,000 - ₹ 1,50,00,000
Job Overview

This key leadership position is responsible for the strategic implementation of architecture, data, analytics, and automation capabilities. As a seasoned expert in Enterprise Architecture, Data & Analytics, you will lead the setup and maturity of the Data & Analytics Center of Excellence (CoE), ensuring scalability, agility, and innovation.

The ideal candidate will have deep expertise in Cloud and enterprise platforms, with hands-on experience in Data, Analytics, and AI domains. Strong leadership, strategic thinking, and exceptional communication skills are essential to manage stakeholder expectations and drive innovation across business and technology.

Key Responsibilities
  • Strategic Architecture & Planning:
    • Define and implement enterprise-wide Data Strategy, Analytics Strategy, and AI Strategy aligned with business objectives.
    • Lead the setup and maturity of the Data & Analytics CoE, ensuring scalability, agility, and innovation.
  • Data Lake Architecture:
    • Design and manage scalable, secure, and high-performance Data Lake environments using Azure Data Services.
    • Enable seamless integration of structured and unstructured data sources for analytics and data science use cases.
  • Data Management & Governance:
    • Establish and oversee enterprise-wide data management practices including data lifecycle, metadata, and master data management.
    • Implement robust data governance frameworks and ensure compliance with regulatory standards (e.g., GxP, GDPR).
    • Drive initiatives to improve data quality, consistency, and accessibility across systems.
  • Analytics & Data Science:
    • Architect and enable advanced analytics platforms supporting BI, predictive modeling, and data science.
    • Collaborate with data owners and analysts to operationalize analytics and insights.
    • Promote data-driven decision-making across business units.
  • AI & GenAI Enablement:
    • Lead the adoption and integration of AI/ML and Generative AI (GenAI) technologies to enhance business capabilities.
    • Define governance and ethical frameworks for responsible AI usage.
  • Automation & Innovation:
    • Drive enterprise-wide Robotic Process Automation (RPA) initiatives to streamline operations and improve efficiency.
    • Identify opportunities for automation and AI-driven transformation across the enterprise.
  • Enterprise Systems Integration:
    • Provide architectural oversight for CRM platforms (e.g., Salesforce, Veeva CRM) and ensure seamless data integration.
    • Collaborate with finance teams to align data architecture with financial accounting systems (e.g., SAP).
    • Support and guide web design initiatives and ensure alignment with enterprise data strategies.
    • Lead and support .NET application development efforts, ensuring integration with data platforms and business logic.
  • Stakeholder Engagement:
    • Collaborate with business units, IT teams, and executive leadership to align data initiatives.
    • Communicate complex technical concepts clearly to non-technical stakeholders.
  • Team Development & Mentorship:
    • Provide technical leadership and mentorship to data architects, engineers, and analysts.
    • Promote a culture of innovation, collaboration, and continuous learning.

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