Vindhya E-Infomedia - Digital Transformation/AI Implementation Officer (5-8 yrs)

Key Responsibilities:

AI Strategy & Roadmap Development:

- Conduct process mapping to identify areas where AI can enhance efficiency, reduce manual effort, or improve decision-making.

- Develop an AI adoption roadmap aligned with Vindhya's business, impact, and growth objectives.

- Stay updated on AI trends, automation tools, and industry best practices relevant to BPO, ITES, and BFSI sectors.

AI Solution Identification & Implementation

- Evaluate and recommend AI solutions such as RPA (UiPath, Automation Anywhere), NLP-based chatbots, voice analytics, AI-driven CRM solutions, and predictive analytics.

- Lead the pilot implementation of AI in key areas such as customer interactions, data processing, sales, and quality assurance.

- Collaborate with operations, IT, and client teams to integrate AI solutions into existing workflows.

Change Management & Stakeholder Engagement:

- Conduct AI awareness workshops for leadership, operations, and support teams to build AI adoption capability.

- Work closely with HR and training teams to upskill employees in AI-driven processes.

- Develop AI governance frameworks to ensure compliance with ethical AI practices and data privacy regulations.

Performance Monitoring & Optimization:

- Define key success metrics to track AI impact on cost, efficiency, and service quality.

- Generate impact reports on AI implementation effectiveness, employee adaptability, and customer experience.

- Continuously optimize AI solutions based on feedback, performance data, and operational insights.

Key Qualifications & Skills:

Years of Experience : 5-8 years working knowledge in AI

Technical Expertise:

- Experience in AI/ML models, automation, NLP, voice analytics, process optimization.

- Knowledge of AI tools such as RPA, chatbot platforms, AI-based analytics tools, and AI-powered CRM solutions.

- Strong understanding of data-driven decision-making, AI ethics, and compliance frameworks.

Business & Industry Knowledge:

- Deep understanding of AI applications in customer service, sales, operations, and quality assurance.

- Ability to bridge the gap between technology and business needs.

Soft Skills & Execution Ability:

- Strong problem-solving, analytical, and strategic thinking skills.

- Excellent stakeholder management and change leadership.

- Ability to effectively communicate AI benefits and limitations to non-technical teams.