Technical Project Manager – Data & Governance

Red Hat

. Lead and manage multiple concurrent project workstreams with minimal supervision .

Posted 5/9/2026full-timePune • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

Tableau

About the role

Key responsibilities & impact

Lead and manage multiple concurrent project workstreams with minimal supervision
Develop and execute strategic plans to meet objectives, scope, and sprint goals, ensuring compliance with project management standards and methodologies
Act as a guardian of data integrity by leading a governance framework that ensures our data is usable and secure
Eliminate reporting noise and implement a single-source-of-truth across Salesforce data assets through rigorous role-based access controls and standardized data definitions
Lead the strategy and execution for migrating front-end visualization assets as our business intelligence tools may evolve, ensuring value-integrity through the shift
Shift the organization from ad-hoc reporting to scalable data products that drive action and empower associates with deep customer context and operational intelligence
Pilot and implement AI-driven analytics, including Natural Language Querying, Predictive Insights, and anomaly detection within Salesforce and BI tools to accelerate decision-making
Partner with stakeholders and Business Intelligence & Engineering teams to translate high-level business vision into actionable technical requirements
Audit the existing report inventory to eliminate value-eroding noise and foster a culture of innovation and optimization
Advise stakeholders on impact measurements and provide clear visibility through advanced data products
Exercise good judgment to identify and resolve project-related issues and risks

Requirements

What you’ll need

Proven experience in global technical teams creating measurable impact against business outcomes
Ability to work with minimal instruction, prioritizing work effectively and exercising good judgment to resolve complex project hurdles
Professional experience managing data sources and complex data pipelines
A solid understanding of data visualization tools like Tableau and Preset
Proficiency in the concepts and vocabulary of data science, AI engineering, and data analysis
Excellent communication skills, with the ability to translate complex data insights for both technical teams and executive audiences
Professional experience establishing, maturing, and scaling new technical functions or teams
Experience with AI/ML frameworks or AI evaluations is a plus

Benefits

Comp & perks

Remote work options
Flexible working hours
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data governancedata integritydata visualizationdata analysisAI-driven analyticsNatural Language QueryingPredictive Insightsanomaly detectiondata pipelinesproject management

Soft Skills

leadershipcommunicationjudgmentprioritizationproblem-solvingstakeholder managementinnovationoptimizationcollaborationstrategic planning