Bengaluru, Karnataka
Job Summary
Key Responsibilities Program & Delivery Management
- Lead end-to-end lifecycle of data fabric and analytics initiatives (planning, execution, monitoring, closure)
- Define scope, timelines, milestones, and deliverables aligned with business objective.
- Manage budgets, resource allocation, and project financials
- Track progress, dependencies, and risks across multiple workstreams Data Platform & Technical Oversight
- Oversee implementation of data fabric architecture, including integration across data sources and platforms
- Provide governance on data pipelines, ETL/ELT processes, data modeling, and analytics solutions
- Ensure alignment with enterprise data architecture, cloud platforms (Azure/AWS/GCP), and BI tools
- Collaborate with architects to support scalable, secure, and real-time data access frameworks Stakeholder & Cross-Functional Leadership
- Act as a bridge between business stakeholders and technical teams
- Lead cross-functional teams including data engineers, analysts, architects, and vendors
- Facilitate requirements gathering, solution design discussions, and roadmap alignment
- Provide executive-level reporting and governance updates Agile Delivery & Execution Excellence
- Drive Agile/Scrum delivery (sprint planning, backlog prioritization, retrospectives)
- Establish PMO standards, governance frameworks, and delivery metrics
- Ensure adherence to quality, security, and compliance standards Risk, Compliance & Data Governance
- Identify and mitigate technical and delivery risks proactively
- Ensure compliance with data governance, privacy, and regulatory requirements
- Drive data quality, lineage, and metadata management practices Required Qualifications
- 10+ years of experience in IT project/program management, including data and analytics initiatives
- 5+ years working on data platforms, BI, or data transformation programs
- Strong understanding of: o Data fabric / data mesh / modern data architectures o Data engineering concepts (ETL/ELT, pipelines, data lakes/warehouses) o Cloud platforms (Azure)
- Proven experience managing cross-functional and global teams
- Expertise in Agile, Scrum, and hybrid delivery models
- Strong experience with tools such as Jira, Confluence, or equivalent
Key Responsibilities
Key Responsibilities Program & Delivery Management
- Lead end-to-end lifecycle of data fabric and analytics initiatives (planning, execution, monitoring, closure)
- Define scope, timelines, milestones, and deliverables aligned with business objective.
- Manage budgets, resource allocation, and project financials
- Track progress, dependencies, and risks across multiple workstreams Data Platform & Technical Oversight
- Oversee implementation of data fabric architecture, including integration across data sources and platforms
- Provide governance on data pipelines, ETL/ELT processes, data modeling, and analytics solutions
- Ensure alignment with enterprise data architecture, cloud platforms (Azure/AWS/GCP), and BI tools
- Collaborate with architects to support scalable, secure, and real-time data access frameworks Stakeholder & Cross-Functional Leadership
- Act as a bridge between business stakeholders and technical teams
- Lead cross-functional teams including data engineers, analysts, architects, and vendors
- Facilitate requirements gathering, solution design discussions, and roadmap alignment
- Provide executive-level reporting and governance updates Agile Delivery & Execution Excellence
- Drive Agile/Scrum delivery (sprint planning, backlog prioritization, retrospectives)
- Establish PMO standards, governance frameworks, and delivery metrics
- Ensure adherence to quality, security, and compliance standards Risk, Compliance & Data Governance
- Identify and mitigate technical and delivery risks proactively
- Ensure compliance with data governance, privacy, and regulatory requirements
- Drive data quality, lineage, and metadata management practices Required Qualifications
- 10+ years of experience in IT project/program management, including data and analytics initiatives
- 5+ years working on data platforms, BI, or data transformation programs
- Strong understanding of: o Data fabric / data mesh / modern data architectures o Data engineering concepts (ETL/ELT, pipelines, data lakes/warehouses) o Cloud platforms (Azure)
- Proven experience managing cross-functional and global teams
- Expertise in Agile, Scrum, and hybrid delivery models
- Strong experience with tools such as Jira, Confluence, or equivalent
Skill Requirements
Key Responsibilities Program & Delivery Management
- Lead end-to-end lifecycle of data fabric and analytics initiatives (planning, execution, monitoring, closure)
- Define scope, timelines, milestones, and deliverables aligned with business objective.
- Manage budgets, resource allocation, and project financials
- Track progress, dependencies, and risks across multiple workstreams Data Platform & Technical Oversight
- Oversee implementation of data fabric architecture, including integration across data sources and platforms
- Provide governance on data pipelines, ETL/ELT processes, data modeling, and analytics solutions
- Ensure alignment with enterprise data architecture, cloud platforms (Azure/AWS/GCP), and BI tools
- Collaborate with architects to support scalable, secure, and real-time data access frameworks Stakeholder & Cross-Functional Leadership
- Act as a bridge between business stakeholders and technical teams
- Lead cross-functional teams including data engineers, analysts, architects, and vendors
- Facilitate requirements gathering, solution design discussions, and roadmap alignment
- Provide executive-level reporting and governance updates Agile Delivery & Execution Excellence
- Drive Agile/Scrum delivery (sprint planning, backlog prioritization, retrospectives)
- Establish PMO standards, governance frameworks, and delivery metrics
- Ensure adherence to quality, security, and compliance standards Risk, Compliance & Data Governance
- Identify and mitigate technical and delivery risks proactively
- Ensure compliance with data governance, privacy, and regulatory requirements
- Drive data quality, lineage, and metadata management practices Required Qualifications
- 10+ years of experience in IT project/program management, including data and analytics initiatives
- 5+ years working on data platforms, BI, or data transformation programs
- Strong understanding of: o Data fabric / data mesh / modern data architectures o Data engineering concepts (ETL/ELT, pipelines, data lakes/warehouses) o Cloud platforms (Azure)
- Proven experience managing cross-functional and global teams
- Expertise in Agile, Scrum, and hybrid delivery models
- Strong experience with tools such as Jira, Confluence, or equivalent
Other Requirements
Key Responsibilities Program & Delivery Management
- Lead end-to-end lifecycle of data fabric and analytics initiatives (planning, execution, monitoring, closure)
- Define scope, timelines, milestones, and deliverables aligned with business objective.
- Manage budgets, resource allocation, and project financials
- Track progress, dependencies, and risks across multiple workstreams Data Platform & Technical Oversight
- Oversee implementation of data fabric architecture, including integration across data sources and platforms
- Provide governance on data pipelines, ETL/ELT processes, data modeling, and analytics solutions
- Ensure alignment with enterprise data architecture, cloud platforms (Azure/AWS/GCP), and BI tools
- Collaborate with architects to support scalable, secure, and real-time data access frameworks Stakeholder & Cross-Functional Leadership
- Act as a bridge between business stakeholders and technical teams
- Lead cross-functional teams including data engineers, analysts, architects, and vendors
- Facilitate requirements gathering, solution design discussions, and roadmap alignment
- Provide executive-level reporting and governance updates Agile Delivery & Execution Excellence
- Drive Agile/Scrum delivery (sprint planning, backlog prioritization, retrospectives)
- Establish PMO standards, governance frameworks, and delivery metrics
- Ensure adherence to quality, security, and compliance standards Risk, Compliance & Data Governance
- Identify and mitigate technical and delivery risks proactively
- Ensure compliance with data governance, privacy, and regulatory requirements
- Drive data quality, lineage, and metadata management practices Required Qualifications
- 10+ years of experience in IT project/program management, including data and analytics initiatives
- 5+ years working on data platforms, BI, or data transformation programs
- Strong understanding of: o Data fabric / data mesh / modern data architectures o Data engineering concepts (ETL/ELT, pipelines, data lakes/warehouses) o Cloud platforms (Azure)
- Proven experience managing cross-functional and global teams
- Expertise in Agile, Scrum, and hybrid delivery models
- Strong experience with tools such as Jira, Confluence, or equivalent
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