22 Oct
|
Tata Motors Digital AI Lab
|
Mumbai
22 Oct
Tata Motors Digital AI Lab
Mumbai
Key Responsibilities
1. Digital Deployment Strategy
- Define the overall deployment and rollout strategy for enterprise digital products, platforms, and services.
- Develop deployment roadmaps covering PoC, Pilot, MVP, Production, Phased Rollout, and Enterprise Scale.
- Determine rollout sequencing across business units, locations, channels, customer segments, or operating environments.
- Identify deployment dependencies, constraints, risks, assumptions, and readiness requirements early in the lifecycle.
- Define repeatable deployment frameworks, playbooks, and patterns that can be used across multiple digital initiatives.
- Align deployment strategy with business priorities, technology strategy, enterprise architecture, security requirements, and operational capabilities.
2. Solutioning & Deployment Architecture
- Translate business and product requirements into deployable enterprise solutions.
- Lead solutioning discussions across application, API, integration, cloud, data, AI, security, infrastructure, and operations.
- Work with Enterprise and Solution Architects to determine the appropriate technical approach and deployment model.
- Assess build, buy, partner, reuse, and platform-based options.
- Identify gaps in existing enterprise capabilities that could prevent successful deployment.
- Ensure solutions are designed with production deployment, scalability, resilience, security, observability, and supportability in mind.
3. Cross-functional Program Orchestration
- Drive execution across multiple product, engineering, architecture, infrastructure, security, operations, business, and partner teams.
- Establish a common deployment plan with clear milestones, owners, dependencies, and decision points.
- Track cross-team dependencies and actively drive closure of blockers.
- Manage deployment risks, issues, assumptions, and escalations.
- Establish governance and operating cadence for large or strategically important rollout programs.
- Ensure all participating teams remain aligned to the deployment objective, timelines, and production outcomes.
- Facilitate executive-level reviews and decision-making where cross-functional intervention is required.
4. Deployment Readiness
- Define and manage deployment readiness criteria across technology and business dimensions.
- Ensure readiness of environments, infrastructure, integrations, data, security controls, observability, support processes, documentation, and operational teams.
- Coordinate UAT, pilot readiness, production readiness, cutover, and go-live activities.
- Identify gaps that may create operational or business risk after launch.
- Establish readiness checkpoints and ensure exceptions are explicitly assessed and managed.
5. Product Rollout & Enterprise Scale
- Drive successful production deployment and phased rollout of digital products and services.
- Coordinate launch activities across technology and business teams.
- Monitor deployment progress, adoption, operational issues, and business readiness during rollout.
- Lead resolution of issues that prevent or delay deployment and scale.
- Define expansion strategies for successful pilots and early deployments.
- Standardize successful deployment approaches for reuse across other products, business units, and markets.
6. Business & Stakeholder Alignment
- Work closely with business leaders and product teams to understand deployment objectives, constraints, and expected outcomes.
- Translate business priorities into actionable deployment strategies and execution plans.
- Communicate complex technical dependencies and risks in a clear business context.
- Build alignment across stakeholders with potentially conflicting priorities.
- Drive timely decisions on scope, sequencing, dependencies, investment, and deployment approach.
- Act as a key interface between business leadership and technology execution teams.
7. Technology & Platform Readiness
- Assess whether existing enterprise platforms and technology capabilities are sufficient to support large-scale deployment.
- Drive reuse of enterprise capabilities such as identity, integration, data, cloud, AI, observability, security, and common platforms.
- Identify platform capabilities that need to be enhanced to enable product rollout.
- Promote standardization of deployment and integration approaches across digital initiatives.
- Ensure new deployments do not create unnecessary technology duplication or fragmented architectures.
8. Partner & Vendor Orchestration
- Work with system integrators, technology vendors, cloud providers, startups, and strategic partners involved in deployment.
- Define technical and delivery boundaries between internal and external teams.
- Review partner solution approaches and deployment plans.
- Ensure partner dependencies and deliverables are aligned with enterprise rollout milestones.
- Drive resolution of cross-partner integration and deployment issues.
9. Post-deployment Scale & Continuous Improvement
- Ensure structured transition from implementation into secure business-as-usual operations.
- Track deployment outcomes, adoption, operational performance, and user feedback.
- Identify recurring deployment bottlenecks and opportunities for process or platform improvement.
- Capture lessons learned and convert them into reusable deployment patterns.
- Continuously improve the enterprise approach to digital rollout and scale.
Key Deliverables The role will own or contribute to:
- Enterprise deployment and rollout strategies
- Deployment roadmaps and rollout plans
- Solutioning and deployment approaches
- Pilot-to-production plans
- Cross-functional execution plans
- Deployment readiness frameworks and checklists
- Dependency, risk, issue, and escalation management
- Cutover and go-live plans
- Deployment playbooks and reusable rollout patterns
- Production-readiness assessments
- Scale-up and enterprise adoption strategies
- Executive deployment reviews and decision papers
Success Measures
Success in this role will be demonstrated through:
- Successful and timely deployment of digital products and services
- Reduction in time from pilot to production
- Successful enterprise rollout and coverage
- Reduction in deployment-related blockers and delays
- Effectiveness of cross-functional execution across multiple teams
- Production readiness and operational stability after launch
- Adoption and utilization of deployed capabilities
- Reuse of enterprise platforms and deployment patterns
- Reduction in duplicated technology and implementation effort
- Ability to scale successful pilots across the enterprise
Required Experience & Skills
- 5+ years of experience in digital transformation, enterprise technology, solutioning, technology strategy, product deployment, program delivery, or related roles.
- Demonstrated experience in large-scale deployment or rollout of digital products, platforms, or technology services.
- Strong experience coordinating multiple technology and business teams toward a common production outcome.
- Strong understanding of enterprise technology and solution architecture.
- Experience working across:
- Cloud and hybrid-cloud environments
- APIs and enterprise integration
- Distributed systems and microservices
- Data platforms and event-driven architectures
- AI / ML / GenAI platforms
- Identity and cybersecurity
- Kubernetes and modern application platforms
- Observability and production operations
- CI/CD and DevSecOps
- Strong understanding of enterprise architecture principles and technology governance.
- Ability to evaluate technology options based on business value, scalability, cost, deployment complexity, risk, and time-to-market.
- Strong program management capabilities, including dependency management, risk management, stakeholder alignment, governance, and escalation.
- Strong communication skills with the ability to interact effectively with senior business and technology leadership.
Preferred Experience
- Experience deploying digital products across multiple business units or large enterprise environments.
- Experience in enterprise digital transformation and platform-led transformation.
- Experience across one or more major cloud platforms such as AWS, OCI, etc.
- Experience with AI/GenAI solution deployment and enterprise adoption.
- Experience working with system integrators, technology partners, and strategic vendors.
- Experience in complex environments involving legacy systems, multiple technology stacks, regulatory requirements, or geographically distributed operations.
- Experience creating reusable enterprise deployment methodologies and operating models.
Please share below details along with your updated CV:
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Highest Regular Qualification & Tenure (including attempts / % / CGPA):
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Reporting to (current company)
Experience in Enterprise Digital
Experience as a Digital Deployment:
Experience in Scrum
Willingness to Relocate to Pune/Mumbai:
Available for interview on 22nd Oct on Teams:
Notice Period / Availability to Join:
Association with Tata Motors / Tata Group (Interviewed / Selected / Worked)
Current Salary (Including Variable Pay):
Expected Salary (Including Variable Pay):
Role: Analytics / BI Manager, Industry Type: Telecom / ISP, Department: Data Science & Analytics, Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: B.Tech / B.E. in Any Specialization Key Skills Skills highlighted with ‘‘ are preferred keyskills Digital Transformation
📌 Senior Manager-Enterprise Digital Deployment Strategist (Mumbai)
🏢 Tata Motors Digital AI Lab
📍 Mumbai