Project Planning Digital Transformation Leader at GE Vernova. Responsible for designing and improving digital scheduling systems across integrated project planning and execution.
Responsibilities
Own and support the digital architecture required to enable the OPS scheduling model across projects.
Provide advanced Primavera P6 expertise across EPS/OBS structure, project codes, activity codes, calendars, baselines, layouts, global changes, user access, and schedule configuration.
Lead or support development of automation tools that reduce manual planning effort and improve schedule quality.
Support ITO planning teams with proposal schedule analytics, standard cycle validation, lead time analysis, and bid readiness reviews.
Develop and maintain data quality checks for schedule readiness, baseline completeness, project codes, activity coding, MLI mapping, baseline type, and reporting eligibility.
Support creation and maintenance of QMS / governance documents for OPS tools, template management, baseline creation, rebaseline, reporting, and integrations.
Act as a key interface between business users and technical development teams.
Requirements
Bachelor’s degree in Engineering, Project Management, Computer Science, Information Systems, Data Analytics, or a related technical discipline.
Minimum 10 Years of experience in project controls, planning, scheduling, project management systems, or enterprise tool implementation.
Strong working knowledge of Primavera P6, including project structures, baselines, codes, scheduling options, logic, calendars, and reporting data.
Experience supporting complex projects, preferably in power generation, energy, infrastructure, engineering, manufacturing, or EPC environments.
Demonstrated ability to translate business process needs into tool requirements, functional specifications, test scripts, and automation logic.
Experience working with cross-functional teams including Planning, Engineering, Equipment, Project Management, IT, and data/reporting teams.
Strong Excel and data analysis skills.
Ability to diagnose complex system, data, and process issues and drive them to closure.
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