Product Owner

Tata Tele Business Services; Maharashtra; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Tata Tele Business Services (TTBS), part of the Tata Group, seeks a Product Owner for the AI Centre of Excellence (CoE) to shape AI-driven business solutions in telecom and cloud. You will define ROI/IRR, prioritize requirements, and act as the voice of the customer across cross-functional teams.

The role focuses on roadmapping, governance, adoption, and delivery of Gen AI/analytics initiatives to maximize business value across the enterprise.

Qualifications

• Bachelor’s or master’s in computer science, Data Science, Economics, Business Management or related fields
• 6+ years in data, analytics, or AI leadership roles, including at least 3+ years in Gen AI, AI/ML solution delivery, analytics-led consulting, or change management
• Proven track record in delivering Gen AI, AI/ML solutions at-scale and data driven decision making at-scale
• Deep understanding of AI governance, MLOps, and responsible AI practices
• Strong leadership and stakeholder management skills
• Excellent communication and change-management capabilities
• Product Owner certification (e.g., CSPO, SAFe POPM) preferred
• Familiarity with telecom BSS/OSS or cloud platforms is a plus

Responsibilities

• Own the product vision, roadmap, and backlog for assigned Gen AI, AI/ML or analytics products
• Gather and refine requirements from business stakeholders, domain SMEs, and users
• Collaborate with data scientists, engineers, and UI/UX teams to develop high-quality deliverables. Vendor and partner management as required
• Prioritize features and user stories based on business impact, value, and dependencies
• Conduct sprint planning, backlog grooming, and user acceptance testing (UAT)
• Drive continuous feedback loops with users to refine and enhance the product
• Ensure alignment with AI CoE governance, data privacy, model explainability, and operationalization standards. Compliance with AI regulations
• Prepare product demos, training, and documentation for effective rollout and adoption
• Track KPIs such as accuracy, adoption, ROI, risk and user satisfaction

Skills

Gen AI leadership

AI/ML delivery

Stakeholder management

Communication

Change management

Agile leadership

Product ownership

Education

Bachelor’s or Master’s in CS/DS/Business

CSPO/SAFe POPM

Job description

Job Description – Product Owner (AI CoE)

Position Details

Position Title: Product Owner – AI Centre of Excellence (CoE)

Reporting To: Head – AI CoE

Location: Any

Industry: Telecom & Cloud Services

Qualifications

1. Bachelor’s or master’s in computer science, Data Science, Economics, Business Management or related fields
2. 6+ years in data, analytics, or AI leadership roles, including at least 3+ years in Gen AI, AI/ML solution delivery, analytics-led consulting, or change management
3. Proven track record in delivering Gen AI, AI/ML solutions at-scale and data driven decision making at-scale
4. Deep understanding of AI governance, MLOps, and responsible AI practices
5. Strong leadership and stakeholder management skills
6. Excellent communication and change-management capabilities
7. Product Owner certification (e.g., CSPO, SAFe POPM) preferred
8. Familiarity with telecom BSS/OSS or cloud platforms is a plus

Job Summary

Responsible for shaping AI-driven business solutions, establishing ROI and IRR for initiatives, and prioritizing product requirements to maximize business impact. Act as the voice of the customer and business within the AI CoE, coordinating with cross-functional teams, and ensuring that Gen AI, AI/ML products deliver tangible business value. The Product Owner plays a crucial role in shaping the roadmap and execution of AI/analytics initiatives in telecom and cloud domains.

Key Responsibilities

1. Own the product vision, roadmap, and backlog for assigned Gen AI, AI/ML or analytics products
2. Gather and refine requirements from business stakeholders, domain SMEs, and users
3. Collaborate with data scientists, engineers, and UI/UX teams to develop high-quality deliverables. Vendor and partner management as required
4. Prioritize features and user stories based on business impact, value, and dependencies
5. Conduct sprint planning, backlog grooming, and user acceptance testing (UAT)
6. Drive continuous feedback loops with users to refine and enhance the product
7. Ensure alignment with AI CoE governance, data privacy, model explainability, and operationalization standards. Compliance with AI regulations
8. Prepare product demos, training, and documentation for effective rollout and adoption
9. Track KPIs such as accuracy, adoption, ROI, risk and user satisfaction

Objectives

1. Accelerate AI-driven transformation and innovation
2. Maximize ROI from AI investments through strategic alignment and execution
3. Promote widespread AI adoption across business units
4. Ensure responsible, explainable, and secure AI usage

Key Result Areas (KRAs)

1. Measurable improvement in AI maturity across functions
2. Impact of AI use cases and number of use cases deployed
3. Time-to-market for AI solutions
4. AI adoption rate and cross-functional engagement. Business unit NPS
5. Accuracy, reliability, and relevance of deployed models. Model deployment cycle time, cost savings achieved
6. Compliance with AI governance and ethical standards
7. Training hours and AI upskilling metrics across the organization

Expected Outcomes

1. Tangible business advantage through applied AI innovation
2. Scalable and reusable AI solutions across the enterprise
3. Improved decision-making and operational efficiency
4. Strong AI governance and minimized risk exposure

Key Competencies

• Product Thinking, Problem solving & Business Value Orientation
• Technical Curiosity & Applied AI Knowledge
• Agile Delivery & Stakeholder Management
• Cross-functional Collaboration
• Data Storytelling & Influential Communication
• Change Management & Adoption Leadership
• Regulatory Awareness & Ethical AI Practices
• Data Driven Decision Making

Transforming Businesses through Digitalization

Tata Tele Business Services (TTBS), belonging to the prestigious Tata Group of Companies, is the country’s leading enabler of connectivity and communication solutions for businesses. With services ranging from connectivity, collaboration, cloud, security, IoT, and marketing solutions, TTBS offers the largest portfolio of ICT services for businesses in India. With an unwavering focus on customer-centricity and innovation, TTBS continues to garner recognition from customers and peers alike.

Our People Shape Our Journey Ahead

We are India’s leading enabler of digital connectivity and technology solutions for businesses - a feat possible only because we are fueled by the dedication and passion of our people. We welcome the finest talent and believe in nurturing and mentoring them to rise into leadership roles, while standing tall on our ethics and values.