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Location
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
Support Agile / Scrum / Kanban delivery models
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
AI/ML lifecycle (data preparation, model training, deployment)
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
Job ID: 147316169
Skills:
Data Cleansing, Data Migration, Agile, Waterfall, S4 Hana, Sap Mdg, Project Management, MDM
Skills:
AI ML solutions, Supply Chain Analytics, Revenue Growth Management, Forecasting, Demand Forecasting, operating models, analytical approaches, Optimization, causal modelling, analytics-led deal shaping, Consumer Shopper Insights, Data Strategy, Trade Promotion Optimization
Skills:
Microservices, Terraform, Python, AWS, Rust, Cloudformation, Devops, Jenkins, Git, Gcp, FastAPI, Azure, Kubernetes, RAG systems, Hugging Face Transformers, Go, MLflow, TF Serving, vector database management, GitHub Actions, TorchServe, LangChain, big data processing using Spark, vLLM, test-driven development, semantic search implementation, model quantization techniques, CI CD pipelines
Skills:
data engineering , Solution architecture, Dashboards, Databricks, Microsoft, AWS, AI ML solutions, Google, Azure AI Partner, AWS Advanced Consulting Partner, Data ingestion, RFP RFI responses, Technical Proposals, Data platforms, Data pipelines, Business Intelligence
Skills:
Pytorch, Python, Tensorflow, Transformers, Hugging Face Transformers, language modeling, NLP libraries, advanced data analysis, feature engineering, data pre-processing, LLM architectures
We don’t charge any money for job offers