Chief Information Officer

Job Summary:

- We are looking for an experienced Head of IT & Digital Transformation to lead the IT strategy, infrastructure, cybersecurity, data science, AI integration, ERP implementation, and business analytics for our organization.

- The role requires a visionary leader with expertise in IT-driven business growth, automation, and data-driven decision-making.

Key Responsibilities & KPIs :

Strategic Responsibilities:

Digital Strategy:

- Developing IT Strategy for Group to ensure business continuity, customer connect & technology readiness of the group on a continual basis.

KPI:

- Customer connect by ensuring UX of customer to feedback.

- CAPEX cost savings.

IT Infrastructure Management:

a) Oversee the management of IT infrastructure, including hardware, networks, servers, and support systems.

KPI:

- Successful implementation of IT infrastructure as per roadmap.

- Achievement of scalability benchmarks.

- System performance improvements in key areas.

b) Managing IT Hardware Lifecycle (Procurement, Maintenance, and Decommissioning).

KPI:

- Timely procurement and setup of required hardware within 30 days.

- Reduction in hardware failure rates by 15%.

- Strong procurement of outdated hardware, ensuring appropriate controls.

- Inventory management accuracy above 98%.

- No cyberattacks & improvement in organizational systems/security.

Cyber security:

- Develop and institutionalize a robust cyber security system & framework to protect the organization from cyber-attacks by constantly evaluating the external environment.

KPI:

- No or zero incidents based on intelligence from data architecture.

- Quality of statistical & data science tools.

- Depth of insights for decision-making.

Data Science for Insight-Based Business Scalability & Architecture:

a) To integrate the science of data management into data architectures to facilitate insight-based decision-making by readily providing reports, dashboards, insights of customers, markets, and other stakeholders to track information for business intelligence and insight-based decision-making.

KPI:

- of decisions based on intelligence from data architecture.

- Quality of statistical & data science tools.

- Depth of Insights for Decision making.

b) Define and execute data governance, data quality, and security standards.

KPI:

- Achievement of 95%+ data quality (based on defined completeness, correctness, and consistency).

- Compliance with data security regulations (e.g., GDPR).

- Data governance process adoption across 100% of business units.

c) Ensuring Smooth Integration of ERP with Existing Systems (CRM, HRMS, Financial Systems, etc.

KPI:

- Successful integration with no more than 5% disruption to business operations.

- Real-time data sync between systems achieved.

- Reduced manual data entry time by 25%.

AI/Gen AI Applications for Automation & Role Rationalization:

a) Identify and implement AI/Gen AI applications to automate routine manual touch points and improve operational efficiency.

KPI:

- Successful implementation of AI tools in at least 3 departments within the first year.

- Reduction in manual task time by 40%.

- Improved employee satisfaction due to task automation (>80%).

b) Building AI in Organizational ecosystem across functions.

KPI:.

- AI used for automation and insights at least 2-5 in every function.

c) Collaborate with relevant departments to evaluate and redesign workflows for role rationalization through automation.

KPI:

- Reduced headcount in manual roles by 15% without impacting performance.

- Improved employee productivity.

- Positive employee feedback on role transitions post-automation (score > 80%).

d) Monitor the impact of AI and automation on business performance and make necessary adjustments for continuous improvement.

KPI:

- Performance metrics for AI tools are met (e.g., 95% uptime, 85% task completion success rate).

- ROI on AI projects exceeding 25% within 1 year.

- Improved customer satisfaction through faster and more accurate service delivery (score > 85%).

ERP Implementation:

a) Oversee the successful implementation of the ERP system.

KPI:

- ERP go-live on time and within budget.

- 100% of key modules functioning as intended.

- User adoption rate > 85% post-launch.

- Reduction in operational errors post-ERP deployment by 30%.

b) Implement and monitor threat detection systems, and enforce security training programs for staff.

KPI:

- Zero critical security incidents (breaches) annually.

- 100% of employees trained on cybersecurity best practices.

- Continuous monitoring of systems with 99% detection accuracy.

Business Analytics:

a) Lead the development and implementation of business analytics and dashboards for key decision-making across departments.

KPI:

- 95% of decision-makers are using the analytics platform weekly.

- Reduction in decision-making time by 20% through access to real-time data.

- Increased accuracy of business forecasts (> 90% accuracy).

b) Use data-driven insights to guide the companys strategic direction, improving operational efficiencies.

KPI:

- Improved operational efficiency by 10% within the first year.

- Increased profit margins or cost savings resulting from actionable insights (5% savings in operational costs).

- Stakeholder satisfaction with business insights (>85%).

c) Facilitating insight based decision making.

KPI:

- Data based insights for Decision Making (% insights derived from DB ).

Required Qualifications & Skills :

Education: Graduate in IT/Computer Science (Masters preferred) from a reputed institute.

Experience:

- 15-20 years of IT leadership experience, including digital strategy, AI, ERP, and cybersecurity.

- Expertise in data science for business intelligence and decision-making.

Technical Skills:

- IT strategy development and execution.

- AI-based automation and analytics.

- Data-driven decision-making frameworks.

- Advanced cybersecurity measures.

- SAP ERP integration and implementation.