Job Description: Director – AI Product Transformation (Telecommunications)
Industry: Telecommunications (Telecom)
Experience: 12–15+ Years
Employment Type: Full-Time (Permanent)
Leadership Experience: 3+ Years at Director Level or Above
Domain Experience: 3+ Years in the Telecommunications Industry
Role Type: Senior Leadership / Strategic Product Transformation
About the Role
We are seeking an accomplished Director – AI Product Transformation to lead the strategy, roadmap, growth, and business impact of a portfolio of AI-enabled products within a large-scale enterprise AI transformation program in the telecommunications industry.
This is a senior product leadership position requiring a combination of AI product strategy, portfolio management, business transformation, and executive stakeholder engagement. The individual will own the product vision and roadmap across multiple AI-enabled products, drive product-led growth, and ensure measurable business outcomes through adoption, experimentation, and value realization.
The successful candidate will work closely with engineering, AI/ML, business, and go-to-market teams while serving as the primary strategic advisor to senior executives and client stakeholders. This role carries direct accountability for product performance, investment decisions, adoption, and ROI, with regular reporting to C-level leadership.
Key Responsibilities
1. AI Product Strategy & Portfolio Ownership
- Define and own the overall product strategy, vision, and roadmap across a portfolio of AI-enabled enterprise products.
- Prioritize product investments based on market opportunities, business objectives, customer needs, and product penetration across channels and segments.
- Identify opportunities to introduce AI-driven capabilities that improve business performance and customer experience.
- Collaborate with engineering and AI/ML teams to translate product strategy into scalable, market-ready solutions.
- Maintain accountability for product performance, adoption, and measurable business outcomes.
2. Executive Leadership & Program Governance
- Lead weekly, biweekly, and monthly executive governance reviews across the AI product portfolio.
- Present and defend product performance, strategic priorities, roadmap decisions, investment requirements, and business outcomes to senior and C-level executives.
- Establish executive reporting frameworks, KPI dashboards, and governance structures for leadership and steering committee meetings.
- Communicate program progress, risks, dependencies, investment trade-offs, and ROI to client and business stakeholders.
- Act as the primary point of contact for executive-level program direction and strategic decisions.
3. Product Growth & Business Impact
- Drive product-led growth strategies across activation, adoption, retention, and expansion.
- Define and monitor product KPIs, business performance indicators, and value realization metrics.
- Design and execute A/B testing, controlled rollouts, and product experiments to measure the actual business impact of AI solutions.
- Establish measurable outcomes such as revenue growth, operational efficiency, productivity improvements, cost reduction, and conversion improvement.
- Use data-driven insights to optimize product performance and maximize business value.
4. Go-to-Market Strategy & Adoption
- Partner with business, sales, marketing, and go-to-market teams to align product strategy with commercial objectives.
- Develop frameworks to measure product adoption and convert usage into measurable business value.
- Identify adoption challenges and implement corrective strategies to improve product penetration.
- Ensure AI-enabled products are integrated into real-world business workflows.
- Drive product expansion across customer segments, business units, and operational channels.
5. Strategic Advisory & Business Transformation
- Serve as a trusted strategic advisor to clients, business leaders, and executive stakeholders.
- Translate complex and ambiguous business challenges into structured AI product strategies, actionable roadmaps, and implementation plans.
- Recommend AI-driven transformation opportunities aligned with business priorities and customer needs.
- Evaluate strategic alternatives, investment trade-offs, and transformation opportunities.
- Drive alignment between business strategy, technology capabilities, and measurable enterprise outcomes.
6. Team Leadership & Stakeholder Management
- Lead and mentor Product Managers, UX/UI Leads, and cross-functional teams.
- Provide strategic direction to matrixed teams across product, engineering, AI/ML, design, and business functions.
- Drive collaboration across stakeholders without directly managing technical delivery.
- Establish accountability for product outcomes, execution priorities, and portfolio-level objectives.
- Build strong relationships with client leadership and internal executive stakeholders.
Required Qualifications
- 12–15+ years of experience in Product Management, Product Strategy, or Enterprise Product Transformation.
- Minimum 3+ years of experience at Director level or above, leading AI-enabled or data-driven product portfolios.
- Demonstrated ownership of product growth, revenue, adoption, activation, retention, or expansion metrics.
- Minimum 3+ years of experience in the Telecommunications industry.
- Strong background in management consulting, professional services, IT services, system integration, or enterprise transformation.
- Proven experience leading executive governance, steering committee meetings, and senior stakeholder engagements.
- Demonstrated ability to present strategic recommendations, defend investment decisions, and communicate business outcomes to C-level executives.
- Strong experience in product-led growth, experimentation, A/B testing, and data-driven decision-making.
- Experience managing multiple products and cross-functional teams in complex enterprise environments.
Technical Skills & Tools
AI & Enterprise LLM Platforms
- Google Vertex AI
- Anthropic Claude
- Enterprise Generative AI and LLM platforms
- AI/ML product evaluation and performance measurement
Cloud & AI Infrastructure
- Google Cloud Platform (Google Cloud Platform) or equivalent cloud platforms
- Enterprise AI infrastructure and cloud-based product ecosystems
AI/ML Monitoring & Observability
- AI model evaluation and observability
- Model performance monitoring, drift detection, and quality tracking
- AI product reliability and performance measurement
Product Analytics & Experimentation
- SQL and data analytics
- BI tools and executive dashboards
- Product analytics and experimentation platforms
- A/B testing and controlled rollout methodologies
- KPI tracking and ROI measurement
Executive Communication
- Executive-level presentations and governance decks
- C-level reporting and strategic business reviews
- Business cases, investment analysis, and value realization frameworks
Preferred Qualifications
- MBA, Master's degree, or equivalent advanced qualification.
- Experience with telecom technologies and ecosystems, including OSS/BSS, 5G, telecom operations, and network-related AI/ML solutions.
- Familiarity with CRM, sales enablement, and marketing enablement platforms.
- Previous experience with reputed management consulting firms, specialized consulting organizations, or global system integrators.
- Experience leading enterprise AI transformation initiatives and scaling AI-enabled products across large organizations.
Key Success Metrics
The successful candidate will be measured on:
- AI product portfolio growth and business performance.
- Product activation, adoption, retention, and expansion.
- Measurable ROI and business value realization.
- Revenue growth, operational efficiency, and productivity improvements.
- Successful execution of product roadmaps and experimentation initiatives.
- Executive stakeholder satisfaction and governance effectiveness.
- Successful adoption of AI capabilities across telecom business workflows.
