Technical Project Manager

Job Title: Technical Project Manager

Location: Mumbai

Key Responsibilities

1. Program Delivery & Operational Oversight

• Lead the technical delivery lifecycle for Program Alps across Mumbai and Manila, with ownership of architecture-aligned execution, design validation, and engineering team coordination.
• Conduct daily stand-ups to align delivery goals with platform architecture, ensuring backlog items are technically viable and scalable.
• Proactively manage technical impediments, coordinating with Solution Architects, Platform Owners, and Chapter Leaders to resolve architecture, infra, or integration-related blockers.
• Drive alignment with deployment patterns, CI/CD pipelines, and cloud infrastructure standards used across PG.
• Act as TPM SPOC for incident response, root cause analysis (RCA), and continuous improvement planning across BUAP platforms.

2. Technical Governance & Reporting

• Create and present weekly technical status dashboards covering architecture progress, design reviews, risks, DevOps metrics, and incident trends.
• Lead and contribute to architecture design reviews, evaluating microservices dependencies, data flow models, and infra configurations.
• Manage Change Requests and SOW updates that involve architectural changes, integration strategy, or refactoring effort.
• Ensure delivery is aligned with PG's reference architectures, security models (IAM, RBAC), data management principles, and regulatory standards.

3. Team & Engineering Management

• Oversee team onboarding, ensuring proper access to architecture diagrams, knowledge base, CI/CD tools (e.g., Jenkins/GitHub Actions), and data contracts.
• Guide engineers on design documentation standards, API specifications (Swagger/OpenAPI), logging practices, and usage of platform SDKs.
• Foster a DevOps and Agile mindset: mentor engineers on code review best practices, CI validation, cloud deployment standards, and post-deployment observability.
• Promote a strong engineering culture by organizing architecture knowledge sharing sessions, PG-stakeholder walkthroughs, and internal demo days. Note: The Technical Project Manager may also be required to play the role of Scrum master (Conduct sprint planning sessions, run retrospectives, lead grooming sessions and take up Agile ceremonies as required.

4. Strategic Resource & Technical Capacity Planning

• Maintain a skill matrix aligned with PG's architecture roadmap – focusing on AWS, Snowflake, Kafka, Java, Python, React, ServiceNow, Collibra, etc.
• Plan for specialized roles like Solution Architects, Data Engineers, Integration Engineers, and Platform Reliability Engineers, based on ongoing and upcoming epics.
• Align with Straive's Technical Excellence Group to provision SMEs for architecture validation, PoC ownership, and strategic delivery initiatives.

5. Stakeholder Communication & Cross-Functional Coordination

• Serve as a bridge between PG's Enterprise Architects, Platform Engineering leads, and Straive delivery teams, translating strategic tech priorities into executable backlogs.
• Coordinate with stakeholders across Security, Data Governance, and Infrastructure teams to ensure compliance and platform alignment.
• Guide staffing discussions with clarity on technical skill gaps, onboarding readiness, and role-to-architecture fitment.

6. Agile & Architecture-Driven Program Management

• Champion Agile ceremonies with a technical lens – ensuring epics are architecture reviewed, JIRA stories carry relevant design annotations, and definition-of-done includes technical completeness. Own and monitor tech KPIs including velocity, defect leakage, architecture debt, release frequency, and infra usage metrics.
• Drive adherence to PG's modular platform strategy, ensuring that all deliverables comply with standards for reusability, containerization, API versioning, and cloud-native deployments.

Preferred Technical Acumen

• Strong grasp of enterprise architecture principles, system design, and integration patterns
• Experience with cloud platforms (AWS preferred) and infrastructure as code (IaC)
• Familiarity with data engineering workflows (ETL/ELT, Snowflake, Python, SQL)
• Ability to interpret and drive decisions from solution architecture diagrams, API specs, and data models
• Working knowledge of Agile tools (JIRA, Confluence), CI/CD pipelines, DevSecOps, and microservices monitoring (e.g., Datadog, ELK)