VICE PRESIDENT-IT

Being the _ VP/AVP_ IT Infrastructure of the product company, you will be responsible for where you will lead enterprise-wide technology and IT infrastructure initiatives.

[Brief about Job ]

This leadership role will focus on delivering scalable, secure, and innovative IT solutions, including ERP, cloud, AI, SAS-based systems, and Microsoft 365, while ensuring robust cybersecurity, IT governance, and digital transformation. The VP – IT will work closely with senior leadership to align technology initiatives with business objectives and drive operational excellence through advanced automation and emerging technologies for Evolute Group.

Key responsibilities include:

• Define and lead the organization’s AI vision and roadmap.

• Partner with business units to identify high-impact AI/ML use cases (e.g., automation, predictive analytics, generative AI).

• Build a robust data architecture that supports real-time, scalable, and AI-ready data pipelines.

• Drive data democratization while ensuring strong data governance and security.

• Shift from being a cost center to a revenue enabler and innovation driver.

• Use AI to improve customer experience, operational efficiency, and decision-making.

• Build or upskill teams in AI, data science, prompt engineering, and MLOps.

• Implement AI-powered threat detection and response.

• Govern the use of generative AI tools (like ChatGPT) to prevent data leakage.

• Manage third-party AI risk and compliance

• Evaluate and pilot emerging technologies.

• Partner with startups, academia, or VCs to keep ahead of the curve.

• Decide on build vs. buy for AI systems.

• Monitor ROI and ensure vendor interoperability and scalability.

• Provide overall leadership and direction for the IT infrastructure and enterprise systems function.

• Develop and implement enterprise-wide IT strategies aligned with organizational goals.

• Establish strong IT governance, compliance, and cybersecurity frameworks.

• Ensure IT operations are scalable, secure, and cost-efficient.

• Lead large-scale IT projects from concept to delivery, ensuring timely and successful execution.

• Stakeholder Communication – Ability to translate technical concepts for executive leadership and cross-functional teams

• Risk Management – Expertise in identifying and mitigating IT risks, including cybersecurity threats

• Collaboration – Fostering teamwork across departments and with external partners

• Compliance & Governance – Ensuring adherence to regulations

Key attributes for success –

• Visionary leadership with strategic and execution excellence with Team Leadership & Development

• Proven ability to influence C-level decisions and drive enterprise-wide change.

• Strategic Planning – Ability to align IT initiatives with business goals and long-term vision

• Project Management – Skilled in Agile, Scrum, and other methodologies for delivering complex IT projects

• Innovation Management – Driving digital transformation and fostering a culture of innovation

You will earn brownie points if you have:-

• Certifications in cloud (AWS/Azure), ERP systems, or cybersecurity.

• Deploying enterprise-wide LLM assistants to boost employee productivity.

• Implementing RPA + AI for back-office automation.

• Leading AI ethics committee or governance boards.

To qualify for the role, you must have –

• Bachelor’s or Master’s degree in Information Technology, Computer Science, or related fields.

• 15 to 20 years of progressive experience in IT leadership roles.

• Proven experience in IT modernization, automation, and process optimization.

• Strong experience in business continuity planning and disaster recovery strategies.

• Experience in IT risk management and compliance in regulated environments.

Core Technical Skills

• In-depth knowledge of ERP platforms(SAP/Oracle) and SAAS platform cloud infrastructure (AWS/Azure), cybersecurity frameworks, and AI/ML integrations

• Cloud Computing – Expertise in AWS, Azure, or Google Cloud for scalable infrastructure or similar

• Data Analytics – Ability to leverage data for strategic decision-making using tools like Power BI or Tableau1.

• AI/ML Expertise – Understanding of artificial intelligence and machine learning applications in business

• Network Architecture & IT Infrastructure – Deep understanding of system design, scalability, and reliability