Senior IT Project Manager - Data Analytics
About The Position
This is an IT Project Manager role requiring planning, oversight, and execution of data and advanced analytics projects in the Technology Enablement and Analytics division of Enterprise Transformation Services to modernize the data and analytics platforms serving different operating units. The majority of these projects are run by an in-house Managed Service Provider for technology execution, and the project manager role should serve as the single point of contact for budgeting, scoping, technology decisions with architecture collaboration and quality advisors, steering committee management, program oversight, risk management, and OU stakeholder management. This team is moving toward a product-based, Agile delivery model rather than traditional waterfall project execution. Projects are delivered through short-duration pods/sprints, with tangible outcomes expected at the end of approximately three-week pod cycles. Projects are generally short-term initiatives, typically ranging from a few months up to six months, rather than large multi-year waterfall programs. The resource is expected to hit the ground running; training on the platforms is not anticipated. This is a true project management role, not a hands-on technical role. Candidates do not need to code or configure platforms but must understand data platform architecture and cloud environments, data pipelines and replication processes, cross-team dependencies, data project lifecycle management, and scope, schedule, and budget management. Technical scope will include supporting coding/configuration as needed, but the role is primarily expected to understand and propose solution approaches rather than hands-on development.
Requirements
- 8 years of experience in technical delivery of data and analytics projects
- Proven experience in the utility sector for data lifecycle and application project delivery and deployment on platforms like SAP BDC, Snowflake, SAP BTP, SAP Analytics Cloud, SAS , or equivalent data platforms
- Experience managing projects involving at least two relevant data/analytics platforms (including SAP BW, SAP Datasphere, Databricks, or Palantir in addition to those listed above)
- Strong Agile/product delivery experience
- Strong background in data platforms — candidates without experience on any of the listed platforms are unlikely to qualify
- Ability to manage scope, schedule, budget, stakeholder engagement, and cross-functional data teams
- Understanding of data platform architecture and cloud environments
- Understanding of data pipelines and replication processes
- Understanding of cross-team dependencies and data project lifecycle management
- Cloud platform consumption forecasting, cost estimation, budgeting, and financial planning (FinOps) for platforms such as Snowflake, Palantir, and SAP environments
Nice To Haves
- PMP certification
- Agile/Scrum Master certifications (e.g., PMI-ACP/Agilist or Scrum Master)
- Previous SCE project management experience
- Utility project budgeting process, including unit estimate and actuals tracking; proven skills in data project lifecycle and credit management/FinOps for cloud platforms
- Utility-sector experience (highly preferred due to familiarity with regulatory and compliance-driven data requirements); candidates from other highly regulated industries may also be considered
- Prior SCE project management experience
- Utility industry exposure
- Experience in other highly regulated industries as an alternative to direct utility sector experience
Responsibilities
- Serve as the single point of contact for budgeting, scoping, and technology decisions with architecture collaboration and quality advisors
- Manage steering committees, program oversight, risk management, and operating unit (OU) stakeholder management
- Plan, oversee, and execute data and advanced analytics projects within the Technology Enablement and Analytics division of Enterprise Transformation Services
- Modernize data and analytics platforms serving different operating units
- Coordinate delivery through the in-house Managed Service Provider for technology execution
- Support and work across multiple data platforms and orchestrate requirements
- Manage scope, schedule, budget, stakeholder engagement, and cross-functional data teams with minimal ramp-up time
- Understand and propose solution approaches related to data platform architecture, cloud environments, data pipelines, replication processes, and cross-team dependencies
Benefits
- Medical, Vision, and Dental Insurance Plans
- 401k Retirement Fund
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What This Job Offers
Job Type
Full-time
Career Level
Senior
