Project Manager – Data, Analytics & AI

USEReady

Bengaluru

Hybrid

INR 1,200,000 - 1,800,000

Full time

14 days+

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Benefits offered by this job

Opportunity to work on cutting-edge Data and AI initiatives
Mentorship and career growth
Collaborative, learning-focused work environment

Job summary

USEReady is looking for a Project Manager in Bengaluru with 10-14 years of experience, including 2-4 years in project management. This role focuses on delivering Data and Analytics projects, working closely with technical teams and stakeholders. The ideal candidate should possess strong project management skills, familiarity with Agile methodologies, and solid understanding of data engineering. Opportunities for mentorship and career growth within a collaborative environment are offered.

Qualifications

  • 10-14 years total experience with 2-4 years in project management.
  • Experience supporting Data, Analytics, or AI/ML projects.
  • Strong organizational and documentation skills.

Responsibilities

  • Support end-to-end project delivery for Data, Analytics, and AI initiatives.
  • Coordinate with data engineers, analytics teams, and business stakeholders.
  • Maintain project artifacts and facilitate agile ceremonies.

Skills

Project Management
Agile methodologies
Communication skills
Data engineering concepts
Analytics proficiency

Tools

Jira
Confluence
Azure DevOps
MS Project

Job description

Bangalore, India (Hybrid / Onsite / Remote – as applicable)

Experience

10–14 years of total experience with 2-4 yrs project management experience

Role Summary

We are seeking a motivated Project Manager with hands‑on experience supporting Data, Analytics, and AI‑driven initiatives. The ideal candidate will assist in planning, executing, and delivering projects involving data platforms, analytics solutions, and AI/ML use cases, working closely with cross‑functional technical and business teams.

Key Responsibilities
  • Project Execution & Coordination
    • Support end‑to‑end project delivery for Data, Analytics, and AI initiatives
    • Assist in defining project scope, timelines, milestones, and dependencies
    • Track project progress, risks, issues, and action items
    • Ensure projects are delivered on time, within scope, and budget
  • Stakeholder & Team Collaboration
    • Coordinate with data engineers, analytics teams, data scientists, architects, and business stakeholders
    • Facilitate sprint planning, stand‑ups, retrospectives, and status meetings
    • Prepare and share project status reports, dashboards, and presentations
    • Act as a bridge between technical teams and business users
  • Agile & Delivery Support
    • Maintain project artifacts such as user stories, backlogs, RAID logs, and documentation
    • Assist Product Owners in backlog grooming and release planning
  • Data, Analytics & AI Context
    • Support projects involving:
      • Data warehouses, data lakes, ETL/ELT pipelines
      • BI and analytics platforms (e.g., Power BI, Tableau)
      • AI/ML use cases such as predictive analytics, NLP, or automation
      • Help track model development, validation, deployment, and monitoring milestones
Required Qualifications
  • Experience
    • 10-14 yrs total experience with 2–4 years of experience as a Project Coordinator, Project Manager, or similar role
    • Experience supporting Data, Analytics, or AI/ML projects
    • Hands‑on experience working with cross‑functional technical teams
  • Technical & Domain Knowledge
    • Basic understanding of:
      • Data engineering and analytics concepts
      • Cloud platforms (AWS, Azure, or GCP – basic familiarity)
      • Experience with project tools such as Jira, Confluence, Azure DevOps, MS Project, or similar
  • Project Management Skills
    • Familiarity with Agile, Scrum, or Hybrid delivery models
    • Strong organizational and documentation skills
    • Ability to manage multiple tasks and priorities
  • Communication & Soft Skills
    • Strong verbal and written communication skills
    • Ability to work with both technical and non‑technical stakeholders
    • Proactive, detail‑oriented, and eager to learn
Preferred Qualifications
  • PMP, CAPM, or Agile/Scrum certification (or working toward one)
  • Exposure to AI governance, data quality, or MLOps concepts
  • Experience in industries such as Healthcare, Life Sciences, Finance, or Retail
What We Offer
  • Opportunity to work on cutting‑edge Data and AI initiatives
  • Mentorship and career growth into Senior PM or Program Manager roles
  • Collaborative, learning‑focused work environment
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