Project Manager

We are #Hiring: #Project_Manager

Job Title : #Project_Manager

Location : MUMBAI - ( Hybrid )

Total Yrs. of Experience : 12 to 16 Years

️ Duration: Contract to Hire (C2H)

Notice Period: Immediate Joiners to 30 Days

Job description*:

Experienced project manager responsible for planning, executing, and governing multi team delivery spanning Data Engineering, Full Stack, and AI/ML powered systems.

Oversees end to end delivery of features involving data pipelines, GenAI/LLM integrations, segmentation/NBA workflows, and UI/API development.

Manages cross functional stakeholders, defines roadmaps, aligns sprint goals, tracks KPIs, mitigates delivery risks, and ensures compliance (SSO, security, data governance).

Leads offshore/onshore coordination while ensuring predictable execution, quality, and successful adoption of agentic AI capabilities.

• Define guardrails for AI/ML usage and validate responsible AI outputs.

• Proactively identify delivery risks, data risks, and tech risks—and execute mitigation plans.

#Roles and responsibilities:

#Program & Delivery Leadership:

• Lead end to end planning, execution, and governance of multi team delivery across Data Engineering, Full Stack, and AI/ML/GenAI domains.

• Drive delivery of complex features involving data pipelines, LLM integrations, segmentation/NBA workflows, and UI/API development.

• Define delivery strategies, timelines, release plans, and execution models aligned with business goals.

Cross Functional Coordination

• Coordinate seamlessly across onshore and offshore teams, ensuring alignment, productivity, and predictable delivery.

• Facilitate collaboration between Data Engineers, Full Stack Developers, AI/ML teams, QA, DevOps, and product stakeholders.

• Bridge communication between technical teams and business leadership to ensure clarity and continuous alignment.

Roadmap & Sprint Governance

• Define and maintain the project roadmap, sequencing workstreams and managing dependencies.

• Lead sprint ceremonies, align sprint goals with roadmap outcomes, and ensure on time, high quality delivery.

• Track capacity, resource allocation, and workload balancing across teams.

Risk, Issue & Dependency Management

• Identify delivery, technical, data, and compliance risks early; build mitigation and contingency plans.

• Remove blockers proactively, ensuring smooth progress across multi disciplinary teams.

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Regards

Ramya Sarige

Senior IT Recruiter Talent Acquisition

Email-ID:,Website:www.burgeonits.com

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