Infiniti Research
Project Manager
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Onsite
Published on:
10 August 2026
What they need
JD:
Yrs of Exp: 5 to 10
Job location: Bengaluru/Hyderabad
Notice Period : Immediate joiners only
Key Responsibilities
Program & Delivery Leadership
- Lead end-to-end execution of analytics initiatives across Data Engineering, Data Science, and AI/ML workstreams.
- Manage project scope, schedules, milestones, risks, and delivery commitments.
- Coordinate cross-functional teams including Data Engineers, ML Engineers, Data Scientists, BI Developers, and Platform Engineers.
- Ensure adherence to delivery timelines, quality standards, and governance checkpoints.
- Act as the primary delivery interface between client stakeholders and internal execution teams.
- Facilitate steering committee updates, program reviews, and roadmap alignment sessions.
- Translate business needs into structured execution plans.
Agile Delivery & Execution Governance
Manage delivery using Agile/Hybrid methodologies.
Run sprint ceremonies, including:
Sprint Planning
Backlog Grooming
Retrospectives
Sprint Demos
Track velocity, burn-down metrics, and release planning.
Manage RAID logs proactively.
Maintain delivery dashboards and execution trackers.
Support governance layers including:
PMO Reviews
Architecture Review Boards
Data Governance Forums
Model Governance Checkpoints
Work closely with Solution Architects, Data Platform Leads, Cloud Engineering Teams, and MLOps teams.
Required Skills & Experience
Core Program Management
- 5+ years of experience managing analytics, data platform, or digital transformation projects.
- Experience managing multi-stream analytics programs.
- Strong stakeholder engagement and client-facing experience in enterprise environments.
- Experience working within structured governance frameworks.
Analytics Delivery Awareness (Hands-on Exposure Preferred)
Good working knowledge of:
- Data Engineering lifecycle
- Data Lake / Lakehouse architectures
- Machine Learning lifecycle and deployment workflows
- Business Intelligence (BI) reporting ecosystems
Agile & Execution Frameworks
Agile/Scrum delivery experience.
Experience managing hybrid delivery models (Agile + Waterfall).
Familiarity with project management and collaboration tools such as:
Jira
Azure DevOps
Confluence
Scrum Master and/or PMP certification preferred.
Preferred Skills
- Proven ability to manage cross-functional teams and successfully deliver complex projects.
- Understanding of change management principles and practices.
- Experience creating and executing user adoption strategies.
- Strong strategic thinking and analytical skills with the ability to make data-driven decisions.
- Excellent stakeholder management skills; comfortable working with both technical and business teams.
- Strong problem-solving, communication, presentation, and storytelling abilities.
- Experience and understanding of A/B Testing, Causal Inference, and Statistical Experimentation.
- Experience working with cross-functional teams including Data Science, Engineering, OT/IT, and Business Stakeholders.
- Ability to co-own or define product/program vision, roadmap, and KPIs.
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