Vice President-IT

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: 1. Strategic responsibilities 1. AI Strategy & Enablement: 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). 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 ,