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Data Project Manager

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Hybrid

Data Project Manager

Sigma Allied Services

Data Project Manager

Skills

Product ManagementData AnalysisAI

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹900,000 – ₹1,700,000 / year

Location:

Mumbai, Maharashtra, India

Work mode:

Hybrid

Published on:

26 August 2026

What they need


Position:  Data Project Manager

Location: Mumbai (candidate should be comfortable to travel to client office for a Week/Month depend on requirement)

Domain : AI-Digital based organization

Type: Contract

Exp: 12+yrs

Job Description:

  • End-to-End Billing Implementation Leadership: Has led complex billing transformation or implementation projects across multiple business units, integrating product, finance, and technical domains.
  • Technical & Data Architecture Acumen: Deep understanding of data modelling, systems integration, and platform architecture. Able to anticipate technical dependencies and ensure alignment with enterprise architecture principles.
  • Product Management & Delivery Frameworks: Experienced in applying structured product management methodologies (e.g., Agile, dual-track delivery, outcome-based road mapping) in dynamic, fast-paced environments.
  • Operational Reporting & Insights Enablement: Familiar with setting up robust operational reporting frameworks, including reconciliation, audit, and exception handling use cases.
  • Collaborative Problem Solving & Decision-Making: Comfortable navigating ambiguity, managing risk, and facilitating decision-making with technical and non-technical stakeholders. Applies structured approaches (e.g., A3 thinking, root cause analysis, DACI/RAPID) to resolve blockers and drive clarity.
  • Executive Communication & Stakeholder Alignment: Skilled communicator who can tailor narrative and influence across senior leadership, technical teams, and commercial stakeholders. Brings clarity to complexity and is effective at building consensus.
  • Cross-Functional Influence & Team Enablement: Adept at working across product, engineering, finance, and analytics teams. Provides directional clarity, coaches team members, and fosters a collaborative delivery environment

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