Position Summary
We are looking for a Manager of Technical Product Manage to coordinate projects involving work from one or more of the areas mentioned above. You will have a unique opportunity to join a new team to develop novel tools and solutions at the forefront of utility industry analytics and integrated investment planning. In this role you will lead cross functional teams, including data scientists, asset engineers, risk engineers, technology experts, and subject matter experts to develop data driven solutions to ensure the organization is able to expand IGP Copperleaf solutions to achieve business outcomes. It is the perfect role for someone who would like to continue to build upon their professional experience and gain a comprehensive view of the nation's most advance smart grid.
This position is hybrid, working from your remote office and your assigned work location based on business need. The assigned work location will be Oakland or San Ramon.
PG&E is providing the salary range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity.
A reasonable salary range is:
Bay Area Minimum: $144,000
Bay Area Maximum: $244,000
Job Responsibilities
Product Management
- Research and define users' problem statements, use cases, and functional requirements
- Development of prioritized project plans, product roadmaps, and resource allocation needs
- Facilitate on-time project completion by codifying roles and responsibilities
- Identification of project risks, followed by development of contingency plans
- Solve and document roadblocks the project team faces as part of continuous improvement efforts
- Conduct user testing and product demo sessions as part of an iterative development process
- Craft regular updates to leadership on project status, successes, and learnings
- Promote a continuous improvement mindset by conducting after action retrospectives and sharing learnings
- Work closely with leadership teams to identify ways to collaborate and meet business objectives
Cross-Line of Business Engagement with Teams, Senior Leaders, and Regulators
- Develop materials for, and lead presentations to, senior leadership
- Understand and effectively communicate how individual projects fit into a broad strategic landscape
- Collaborate with dev/ops team to drive improved data access and data quality
- Partner with internal clients to advance business processes, based on analytical findings
- Support the development of external communications explaining PG&E's analytical capabilities, current project portfolio, vision for the future, and relevant policy positions
- Work with team leadership to continually improve analytics at PG&E via demonstrations, mentoring, disseminating best practices, etc.
Qualifications
Minimum:
- BA/BS or equivalent experience in appropriate technical discipline (computer science, engineering, applied sciences, mathematics, statistics, econometrics or similar quantitatively focused subject areas)
- Project Management certifications (Agile, Lean Six Sigma, PMP, etc.)
- Minimum of 8 years of relevant experience in product management, project management, advanced analytics, data science, or software development. At least 4 years Product Management experience.
- Excellent oral and written communication skills
Desired:
- Deep experience with Copperleaf suite of products
- Advanced degree in appropriate technical discipline (computer science, engineering, applied sciences, mathematics, statistics, econometrics or similar quantitatively focused subject areas)
- Proven ability to translate business desires into technical requirements and user stories
- History of working on complex multi-stage projects with a diverse team
- Demonstrated commitment to teamwork and enabling others
- Experience with relevant product management tools (Jira, Asana, etc.), version control tools (Git, Bitbucket. etc.), data science and machine learning tools/infrastructure (AWS suite of products, Jupyter, etc.), and methodologies (Agile, Design thinking, Kanban, etc.)"
- Experience using Agile methodology to develop a machine learning product
- Experience conducting user research and using client feedback to inform a product roadmap
- Involvement or strong interest in the energy/clean tech industry
- Expressed interest in learning, experimentation, and incorporation of new techniques
- Ability to adapt to and improve existing processes
Pacific Gas and Electric Company
77 Beale St
San Francisco
California United States
www.pge.com