Requisition ID # 92662
Job Category : Customer Support / Operations
Job Level : Manager/Principal
Business Unit: Wildfire Risk
Job Location : San Ramon
Company Overview
Based in San Francisco, Pacific Gas and Electric Company is one of the largest combined natural gas and electric utilities in the United States (NYSE
CG). In addition to providing energy to approximately 40% of Californians and 1 in 20 Americans, PG&E also delivers some of the [ Link removed ] , nearly 80% from GHG emissions free sources, and 0% from coal. As an active member of the community PG&E aims to improve our customers’ quality of life, economic vitality, and prospect for a better future by providing clean, safe, reliable and affordable energy. As such, PG&E proactively advocates for regulation of greenhouse gases through partnerships (such as at the UN COP in Paris), invests in renewables, and supports customer affordability through one of the country's most successful energy-efficiency programs. More information on PG&E and its other innovative sustainability initiatives can be found at [ Link removed ]
The Wildfire Risk Organization is responsible for assisting the company to act decisively and transparently to prevent fires of consequence from being caused by our equipment. The organization will develop objectives to 1) prevent fires of consequence originating from our equipment; 2) meet all commitments outlined in our 2021 Wildfire Mitigation Plan; 3) continue to foster trusted relationships with key stakeholders; and 4) Develop consistent processes and work standards through the implementation of the Lean Operating System for sustainable operations going into 2022 and beyond.
Team Overview
The aim of the Risk and Data Analytics team is to develop and deploy machine learning models to enhance the risk practices of PG&E’s Electric Operation business and thereby address changing external conditions such as climate change. The Risk and Data Analytics team is a new group at PG&E consisting of data scientists and data analysts who are self-starters seeking to establish new tools and processes using an agile, iterative approach to project work. The team works collaboratively on machine learning projects to enable PG&E to close the gap between metrics and electric system performance. These modeling projects provide a multi-layered view of risk across the electric system so that decision-making processes include and empower employees at all levels of the company to manage risk appropriately.
In creating these machine learning models, the team employs a data supported, lean solution process to expand PG&E’s ability to assess and manage risk. The result are assessments and mitigations that are more dynamic, quantitative, and customer-focused, with a multi-layered approach for both short-term and long-term time horizons.
Sample activities include:
Position Summary
We are looking for an Expert Technical Product Manager 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. In this role you will lead cross functional teams, including data scientists, technology experts, and subject matter experts to develop data driven solutions. 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.
Responsibilities:
Product Management
Cross-Line of Business Engagement with Teams, Senior Leaders, and Regulators
Minimum Qualifications:
Desired Qualifications:
Communication
Agile Software Development
Scrum (Software Development)
Business Process
Research
Job Category : Customer Support / Operations
Job Level : Manager/Principal
Business Unit: Wildfire Risk
Job Location : San Ramon
Company Overview
Based in San Francisco, Pacific Gas and Electric Company is one of the largest combined natural gas and electric utilities in the United States (NYSE
CG). In addition to providing energy to approximately 40% of Californians and 1 in 20 Americans, PG&E also delivers some of the [ Link removed ] , nearly 80% from GHG emissions free sources, and 0% from coal. As an active member of the community PG&E aims to improve our customers’ quality of life, economic vitality, and prospect for a better future by providing clean, safe, reliable and affordable energy. As such, PG&E proactively advocates for regulation of greenhouse gases through partnerships (such as at the UN COP in Paris), invests in renewables, and supports customer affordability through one of the country's most successful energy-efficiency programs. More information on PG&E and its other innovative sustainability initiatives can be found at [ Link removed ]The Wildfire Risk Organization is responsible for assisting the company to act decisively and transparently to prevent fires of consequence from being caused by our equipment. The organization will develop objectives to 1) prevent fires of consequence originating from our equipment; 2) meet all commitments outlined in our 2021 Wildfire Mitigation Plan; 3) continue to foster trusted relationships with key stakeholders; and 4) Develop consistent processes and work standards through the implementation of the Lean Operating System for sustainable operations going into 2022 and beyond.
Team Overview
The aim of the Risk and Data Analytics team is to develop and deploy machine learning models to enhance the risk practices of PG&E’s Electric Operation business and thereby address changing external conditions such as climate change. The Risk and Data Analytics team is a new group at PG&E consisting of data scientists and data analysts who are self-starters seeking to establish new tools and processes using an agile, iterative approach to project work. The team works collaboratively on machine learning projects to enable PG&E to close the gap between metrics and electric system performance. These modeling projects provide a multi-layered view of risk across the electric system so that decision-making processes include and empower employees at all levels of the company to manage risk appropriately.
In creating these machine learning models, the team employs a data supported, lean solution process to expand PG&E’s ability to assess and manage risk. The result are assessments and mitigations that are more dynamic, quantitative, and customer-focused, with a multi-layered approach for both short-term and long-term time horizons.
Sample activities include:
- Interpretation and representation of meteorological data in models that combine a range of data sources such as the electric system asset data, vegetation and meteorology
- Development of computer vision models aimed at accelerating and automating asset inspections processes
- Predicting electric distribution equipment failure before it occurs allowing for proactive maintenance
- Supervised and unsupervised machine learning models using Python, executed on AWS
Position Summary
We are looking for an Expert Technical Product Manager 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. In this role you will lead cross functional teams, including data scientists, technology experts, and subject matter experts to develop data driven solutions. 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.
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 commitments
- Coordinate and conduct agile/scrum sprint events and cycles as appropriate for the project
- 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 for machine learning projects
- 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.
Minimum Qualifications:
- 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 10 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 Qualifications:
- 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 an 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
Recommended Skills
User StoryCommunication
Agile Software Development
Scrum (Software Development)
Business Process
Research