COE Head

4 days ago


Chennai, Tamil Nadu, India Qualitest Full time ₹ 15,00,000 - ₹ 60,00,000 per year

Job description:

Overview:
The Vice President of the Center of Excellence (COE) will lead the strategic vision, innovation roadmap, and operational execution of our technology innovation hub. This executive will serve as a catalyst for digital transformation, leveraging deep expertise in automation, AI/ML, and emerging technologies to deliver scalable, high-impact business solutions. The ideal candidate is a visionary leader, skilled in fostering collaboration across diverse teams and driving measurable business outcomes through innovation.

Key Responsibilities

Technology Leadership:
Drive the evaluation, adoption, and integration of diverse technologies including RPA (Robotic Process Automation), AI/ML frameworks, cloud-native platforms, and advanced analytics tools. Maintain a forward-looking perspective on emerging technologies to position the organization at the forefront of innovation.

Innovation & Transformation:
Champion automation and AI-driven strategies to enhance decision-making, optimize operations, and create sustainable competitive advantage. Lead the design and implementation of scalable, future-ready digital transformation initiatives.

Cross-Functional Collaboration:
Partner with business units, IT, data science, and external vendors to ensure alignment, governance, and seamless execution of COE programs. Foster a culture of innovation, agility, and shared accountability across the enterprise.

Governance & Best Practices:
Establish robust governance frameworks, standards, and best practices for technology adoption, data integrity, and solution scalability. Ensure compliance, security, and consistency across all digital initiatives.

Talent Development:
Build and lead a high-performing team of specialists in AI, automation, and digital technologies. Mentor and develop talent to cultivate technical excellence and thought leadership within the organization.

Performance & Impact:
Define key performance indicators (KPIs) to measure the effectiveness and business impact of COE initiatives. Report progress and insights to senior leadership and key stakeholders, ensuring transparency and accountability.

Change Management:
Lead organizational change efforts to embed innovation, agility, and continuous improvement into the company's culture and operations.

Education:
Bachelor's degree in computer science, Engineering, or a related field. MBA or advanced degree.

Experience:

  • 18+ years of progressive experience in technology leadership, including 5+ years overseeing COE operations, digital transformation, or innovation programs.
  • Proven success managing multi-tool environments including RPA platforms (UiPath, Automation Anywhere, Blue Prism), AI/ML frameworks (TensorFlow, PyTorch, Azure AI), and cloud technologies (AWS, Azure, GCP).
  • In-depth understanding of emerging trends in AI, automation, and next-generation enterprise technologies.

Skills:

  • Strong strategic thinking and analytical problem-solving capabilities.
  • Exceptional communication, stakeholder management, and executive presentation skills.
  • Expertise in Agile methodologies and scalable technology deployment.
  • Demonstrated ability to lead, inspire, and develop multidisciplinary teams.

We offer:

Why Join Us?

·      
Accelerate Your Career Growth:
Work on global, high-impact projects that expand your expertise and provide clear pathways to shape future of data engineering

·      
AI-First Mindset:
Be part of cutting-edge initiatives leveraging AI/ML to solve real-world business challenges for clients worldwide

·      
People-Centric Culture:
Thrive in an environment that values collaboration, mentorship, continuous learning, and employee well-being

·      
Innovation at Scale:
Contribute to developing next-generation solutions, accelerators, and differentiated offerings that shape the future of data and analytics.

·      
Exposure to Advanced Technologies:
Gain hands-on experience with cloud-native platforms, modern data architecture, and emerging technologies driving digital transformation


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