Job Description
About the Role
To lead the delivery, growth, and governance of Artificial Intelligence, Advanced Analytics, Machine Learning, and Generative AI solutions across Non-Telecom and Enterprise Business domains. Drive data-driven transformation initiatives, identify new business opportunities, manage a team of data scientists and AI specialists, and ensure successful implementation of analytics products that deliver measurable business impact.
Responsibilities
Strategy & Business Partnership
- Define and execute the AI & Analytics roadmap for Non-Telecom and Enterprise Business Units.
- Partner with business stakeholders to identify opportunities for AI, ML, GenAI, optimization, and advanced analytics solutions.
- Translate business challenges into scalable analytical and AI use cases.
- Build and maintain strong relationships with senior business leaders and external partners.
- Drive adoption of data-driven decision-making across organizations.
AI & Analytics Delivery
- Lead end-to-end delivery of AI and analytics projects from ideation through deployment and value realization.
- Manage development of:
- Predictive Analytics Models
- Customer Intelligence Solutions
- Recommendation Engines
- Forecasting Models
- NLP and Generative AI Applications
- Computer Vision Solutions
- Optimization Models
- Ensure deployment of production-grade AI solutions with measurable business outcomes.
Team Leadership
- Lead, coach, and develop a high-performing team of:
- Data Scientists
- AI Engineers
- Machine Learning Engineers
- Analytics Specialists
- Define team objectives, performance metrics, and development plans.
- Foster innovation, collaboration, and continuous learning.
- Support recruitment and retention of top AI and analytics talent.
Stakeholder Management
- Present insights, business cases, and AI strategies to executive leadership.
- Manage communication with internal and external stakeholders.
- Lead workshops and executive briefings to showcase AI value realization.
- Influence strategic business decisions through analytics-driven recommendations.
Qualifications
Education
- Bachelor's degree in computer science, Data Science, Engineering, Statistics, Mathematics, Information Systems, or related field.
- Master's degree in data science, AI, Analytics, or Business Administration is preferred.
Experience
- 6-8+ years of experience in Analytics, Data Science, Artificial Intelligence, or Digital Transformation.
- Minimum 3-5 years in a leadership or people management role.
- Proven experience delivering enterprise-scale AI and analytics projects.
- Experience working with Enterprise Business, Financial Services, Retail, Government, Healthcare, Smart Cities, or other Non-Telecom sectors are highly preferred.
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Desirable Qualifications
Advanced Analytics & AI
- Machine Learning
- Deep Learning
- Generative AI (LLMs)
- NLP
- Computer Vision
- Forecasting & Optimization
- Statistical Modeling
Data & Platforms
- Python
- SQL
- Spark
- Databricks
- Kubernetes
- MLOps Platforms
Leadership Competencies
- Strategic Thinking
- Business Acumen
- Stakeholder Management
- People Development
- Influencing & Negotiation
- Decision Making
- Customer Orientation
- Results Focus
- Change Management
More Info
Key Skills
Generative AI
LLMs
MLOps Platforms
