VP/AVP Information Technology

Key responsibilities include:

1. Strategic responsibilities

1.  AI Strategy & Enablement:

• Define and lead the organizations AI vision and roadmap.
• Partner with business units to identify high-impact AI/ML use cases (e.g., automation, predictive analytics, generative AI).

2.  Data Strategy & Infrastructure Modernization:

• 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.

3.  Business Alignment & Digital Transformation

• Shift from being a cost center to a revenue enabler and innovation driver.
• Use AI to improve customer experience, operational efficiency, and decision-making.

4.  AI Talent & Organizational Change

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

5. Cybersecurity in the AI Age

• 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

6.  Innovation Management & Emerging Tech Scouting

• Evaluate and pilot emerging technologies.
• Partner with startups, academia, or VCs to keep ahead of the curve.

7.  Tech Vendor & Platform Strategy

• Decide on build vs. buy for AI systems.
• Monitor ROI and ensure vendor interoperability and scalability.

2. Functional responsibilities:

• 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
  
  Excellent communication and collaboration skills.

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.

Qualification

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