Job Description We are looking for a Product Manager to join our team! The Product Manager should have worked with high functioning Data Science teams in recent roles, and have experience managing and guiding challenging project discussions. 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. 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 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 the analytical capabilities, current project portfolio, vision for the future, and relevant policy positions The aim of the Risk and Data Analytics team is to develop and deploy machine learning models to enhance the risk practices of the Electric Operation business and thereby address changing external conditions such as climate change. The Risk and Data Analytics team is a new group 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 and 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 We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements • BA/BS or equivalent experience in appropriate technical discipline (computer science, engineering, applied sciences, mathematics, statistics, econometrics or similar quantitatively focused subject areas) • 10+ years of related experience or equivalent; at least 4 years in Product Management • Excellent oral and written communication skills • Demonstrated commitment to teamwork and enabling others Experience with Data Science product lifecycle • 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 • Expressed interest in learning, experimentation, and incorporation of new techniques • Ability to adapt to and improve existing processes Desired: • Advanced Product Management experience • Advanced degree in appropriate technical discipline (computer science, engineering, applied sciences, mathematics, statistics, econometrics or similar quantitatively focused subject areas) Utilities Background, Wildfire understanding • Involvement or strong interest in the energy/clean tech industry