Deputy General Manager- Cloud

About The Company
Tata Communications Redefines Connectivity with Innovation and IntelligenceDriving the next level of intelligence powered by Cloud, Mobility, Internet of Things, Collaboration, Security, Media services and Network services, we at Tata Communications are envisaging a New World of Communications

Job Title: Group Product Manager/ Deputy General Manager

Location: Bengaluru, India (Hybrid)

Employment Type: Full-time Job

• Job Summary ************************************

Tata Communications is seeking a visionary Group Product Manager to lead the development of our AI-enabled Data Platform Cloud Services within the Vayu Cloud PaaS team. This role is central to building India's first sovereign cloud infrastructure, delivering secure, scalable, and intelligent data services across data-at-rest, data-in-motion, data quality, metadata, analytics, and governance. You will define and execute the product strategy for Tata Communications' AI-enabled Data Platform, spanning data warehousing, real-time messaging, orchestration, governance, and visualization. This includes market research, competitive analysis, pricing and packaging strategies, and go-to-market execution in collaboration with cross-functional teams. You will drive portfolio prioritization, balancing strategic goals, customer needs, and technical feasibility, while leading beta programs to validate features and gather actionable insights.

Key Responsibilities

• Define and own the product vision, strategy, and roadmap for the AI-enabled data platform, spanning connectors, ETL, streaming, data warehousing, orchestration, metadata, data quality, governance, and visualization.
• Conduct market research and competitive analysis to identify trends, gaps, and opportunities in the data platform space.
• Shape pricing and packaging strategies aligned with customer value, usage patterns, and competitive positioning.
• Develop and execute go-to-market plans for new features and platform capabilities in collaboration with marketing, sales, and partner teams.
• Drive prioritization across a complex product portfolio, balancing strategic goals, customer needs, and technical feasibility.
• Lead beta customer engagement programs to validate product features, gather early feedback, and translate insights into actionable product improvements.
• Collaborate with engineering, architecture, UX, GTM teams, and Product Sales/ Pre-sales to deliver secure, scalable data platform.
• Ensure intuitive, user-friendly interfaces for data visualization, orchestration workflows, and self-service experiences by working closely with UX designers.
• Drive platform capabilities that support AI workloads, including data preparation, feature engineering, and analytics pipelines.
• Ensure platform compliance with regulatory frameworks (MeitY, RBI, GDPR) and enterprise data governance standards.
• Conduct Build/Buy/Partner evaluations to determine optimal strategies for platform capabilities and integrations. Engage with ISVs, OEMs, and ecosystem partners to build a robust data and analytics ecosystem.
• Own platform KPIs including performance, reliability, cost-efficiency, and adoption across internal and external stakeholders.

Required Qualifications

• Bachelor's or Masters' degree in Computer/Data Science from a premier institute.
• 10+ years of experience in product management, with at least 5 years in data platforms or cloud infrastructure.
• Deep understanding of modern data architectures including datalake/lakehouse, data mesh, streaming pipelines, and metadata-driven governance.
• Experience in at least one major cloud platform (AWS, Azure, GCP, or OCI)
• Proven ability to lead cross-functional teams and manage complex product lifecycles.
• Strong stakeholder management and communication skills. Desired Skills & Expertise
• Experience articulating technical solutions and product differentiators in enterprise sales and RFP contexts.
• MBA or advanced degree preferred (from premier institutes like IIMs, ISB, or equivalent).
• Familiarity with sovereign cloud principles and enterprise compliance frameworks.

\* Exposure to hybrid cloud, multi-tenant SaaS architectures, and AI/ML data pipelines.

• Exceptional writing and editing skills, combined with strong presentation skills.