Senior Product Manager

Duties & Responsibilities

• Define and drive product strategy, vision, and roadmap investments for the IEOS Data Platform, Data Lake and related platform capabilities.

Define and drive product strategy, vision, and roadmap investments for the IEOS Data Platform, Data Lake and related platform capabilities.

Develop governed data products and data-sharing offerings that address customer needs and can be consistently deployed, supported, and scaled.

Partner with customers and internal stakeholders to understand business challenges and translate them into product opportunities and requirements.

• Define functional and non-functional requirements, including security, reliability, observability, auditability, scalability and compliance considerations.

Define functional and non-functional requirements, including security, reliability, observability, auditability, scalability and compliance considerations.

• Lead product definition and packaging of IEOS data products for customer analytics environments, including platforms such as Snowflake and Databricks.

Lead product definition and packaging of IEOS data products for customer analytics environments, including platforms such as Snowflake and Databricks.

Establish product requirements for applying shared platform AI capabilities to IEOS data and workflows, including responsible AI controls, explainability, auditability, governance and secure access patterns.

• Collaborate closely with Engineering teams to balance customer value, technical feasibility, operational requirement and long-term platform strategy.

Collaborate closely with Engineering teams to balance customer value, technical feasibility, operational requirement and long-term platform strategy.

• Partner with Customer Success and Delivery teams to improve onboarding experiences, implementation readiness, supportability and adoption of IEOS data-sharing solutions.

Partner with Customer Success and Delivery teams to improve onboarding experiences, implementation readiness, supportability and adoption of IEOS data-sharing solutions.

Support customer-facing activities, including technical workshops, discovery sessions, solution presentations, and RFP/RFI responses.

Advocate for customer outcomes while driving accountable product decisions that align with business objectives and platform evolution.

Foster a culture of innovation, continuous improvement, and cross-functional cllaboration to deliver meaningful value to utility customers.

Required Skills & Experience

• Bachelor's degree in Business, Engineering, Computer Science, Information Systems, or a related field, or equivalent practical experience.

Bachelor's degree in Business, Engineering, Computer Science, Information Systems, or a related field, or equivalent practical experience.

7+ years of product management experience within enterprise software environments.

Proven ability to define products from customer problems and customer outcomes, not solely from feature requests or backlog execution.

Experience translating customer needs into product requirements, workflows, constraints, and measurable business outcomes.

• Strong experience working with engineering teams on cloud platforms, data architectures, APIs, analytics solutions, and operational tradeoffs.

Strong experience working with engineering teams on cloud platforms, data architectures, APIs, analytics solutions, and operational tradeoffs.

Demonstrated ability to develop and execute product strategies and roadmaps that deliver measurable customer and business value.

Excellent written, verbal, and presentation communication skills with the ability to influence technical, commercial, and executive audiences.

• Strong analytical and problem-solving skills with a data-driven approach to decision-making.

Strong analytical and problem-solving skills with a data-driven approach to decision-making.

• Experience leading cross-functional initiatives in collaborative, agile environments.

Experience leading cross-functional initiatives in collaborative, agile environments.

Commitment to customer-centric product development, accountability, and continuous improvement.

Preferred Skills & Experience

• Experience with cloud SaaS platforms, data platforms, analytics ecosystems, or governed data products.

Experience with cloud SaaS platforms, data platforms, analytics ecosystems, or governed data products.

Experience in the Utilities and Energy industry.

Familiarity with Snowflake, Databricks, and modern data-sharing architectures.

Knowledge of data governance frameworks, data product management, and enterprise data-sharing practices.

Experience with AI-enabled products, responsible AI principles, explainability frameworks, and model governance.

Understanding of enterprise security, auditability requirements, and regulatory considerations related to data and AI solutions.

• Experience supporting customer-facing activities such as technical workshops, solution demonstrations, and RFP/RFI processes.

Experience supporting customer-facing activities such as technical workshops, solution demonstrations, and RFP/RFI processes.

Advanced degree in Business, Engineering, Computer Science, Data Science, or a related discipline.