IT Project Manager (ITPM) – Budgeting in Analytics Space
New
J
JobgetherData analytics
Based in IndiaFull-TimeManager
Salary500,000 - 2,000,000 INR per year
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Job Details
- Experience
- At least 12 years of overall professional experience in IT, data management, analytics, data science, or AI/ML, including a minimum of 4 years in project management.
- Required Skills
- Project ManagementArtificial IntelligenceMachine LearningData scienceBudgetingData analytics
Requirements
- At least 12 years of overall professional experience in IT, data management, analytics, data science, or AI/ML.
- At least 4 years of project management experience.
- Strong technical background or solid understanding of data science, artificial intelligence, machine learning, and analytics-related technologies.
- Good knowledge of data warehousing, statistics, machine learning algorithms, and cloud technologies.
- Experience managing end-to-end data science projects, including use case framing, data collection, data exploration, model development, and deployment.
- Experience delivering and deploying projects in data science, data visualization, or big data environments across on-premises and/or cloud infrastructure.
- Experience managing the product lifecycle, including ideation, development, deployment, AI/ML operations, and ongoing support.
- Strong project management capabilities in planning, budgeting, effort estimation, resource management, risk mitigation, and delivery monitoring.
- Ability to lead requirements gathering, translate business needs into technical solutions, and collaborate with architects on solution design.
- Experience reviewing technical architectures, project estimates, implementation approaches, and delivery documentation.
- Strong stakeholder management, communication, leadership, and people management capabilities, including coordination of geographically distributed teams.
- A graduate degree in any discipline is acceptable.
Responsibilities
- Lead end-to-end IT projects across data management, analytics, data science, visualization, big data, and AI/ML initiatives.
- Oversee project planning, budgeting, resource allocation, timelines, deliverables, and execution.
- Manage the data science project lifecycle from use case definition and data collection through exploration, model development, deployment, and operational support.
- Gather business and technical requirements and translate business needs into technical solutions.
- Coordinate with architects and technical stakeholders on solutioning, architecture design, technical reviews, and project documentation.
- Review solution designs, project estimates, and implementation plans for alignment with client expectations and business objectives.
- Monitor progress, identify risks and delays, and implement corrective actions to maintain delivery commitments.
- Communicate project status, budgets, funding, risks, and milestones to internal and external stakeholders.
- Lead geographically distributed teams and coordinate delivery across regions and business units.
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