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Salary
$26k – $59k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff · 10+ years exp
Overview
Company
Impact
Profile match
Sigmoid builds real time big data products on open source technologies like Apache Spark and Pig. It has raised VC funding and customers include Honeywell, PubNub, Guavus, Fusionops, Capillary Tech, etc.

Job Title: Project Manager - Data & Analytics

Location: Bangalore

Role Overview

We are looking for an experienced Project Manager to drive Agile delivery for large-scale data and analytics programs. The role requires strong expertise in Scrum, SAFe, and end-to-end delivery management, with a focus on project execution, stakeholder management, and delivering business outcomes.

Key Responsibilities

  • Drive end-to-end project/program delivery across data engineering, BI, and analytics initiatives.
  • Act as Scrum Master and facilitate Agile ceremonies, including Sprint Planning, Daily Stand-ups, Reviews, and Retrospectives.
  • Manage scope, timelines, risks, dependencies, and delivery quality.
  • Lead stakeholder discussions and provide regular updates to senior leadership.
  • Drive continuous improvement and proactively resolve project challenges.
  • Prepare impactful PPTs, dashboards, and executive-level summaries.
  • Work independently and ensure projects are delivered within timelines and quality standards.

Required Skills & Experience

  • 8-10+ years of progressive experience in Project/Program Management, with the majority of the career in these roles.
  • Prior experience as a Scrum Master.
  • Strong expertise in Agile/Scrum methodologies; SAFe experience is preferred.
  • Excellent communication and stakeholder management skills, including with senior audiences.
  • Strong ownership of project execution, timelines, and quality standards.
  • Proactive problem-solving approach with the ability to take initiative and work independently.
  • Strong presentation skills with the ability to create impactful PPTs and summarize content for senior-level discussions.
  • Working knowledge of Databricks, Snowflake, AWS S3, and AWS Athena.
  • Experience working in data engineering, analytics, or technology environments is preferred.

Note:

By submitting your application, you consent to being contacted by our Talent Acquisition team via phone call, email, SMS, WhatsApp, or other communication channels regarding your application and relevant career opportunities.

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