Analytics Product Manager

Pattern Energy Group LP•, WI

5d•$111,000 - $138,000

About The Position

Pattern Energy is a leading renewable energy company that develops, constructs, owns, and operates high-quality wind and solar generation, transmission, and energy storage facilities. Our mission is to transition the world to renewable energy through the sustainable development and responsible operation of facilities with respect for the environment, communities, and cultures where we have a presence. Our approach begins and ends with establishing trust, accountability, and transparency. Our company values of creative spirit, pride of ownership, follow-through, and a team-first attitude drive us to pursue our mission every day. Our culture supports our values by fostering innovative and critical thinking and a deep belief in living up to our promises. Headquartered in the United States, Pattern has a global portfolio of more than 30 power facilities and transmission assets, serving various customers that provide low-cost clean energy to millions of consumers. JOB PURPOSE The Analytics Product Manager is the primary connection between EDAA and assigned business domains. This position owns the business relationship, translates domain problems into analytics products and processes, and stays engaged from problem definition through daily operations to ensure delivered solutions create measurable business value.

Requirements

Strong communication skills across technical and non-technical audiences.
Ability to lead through influence without formal authority.
Ability to navigate ambiguity, competing priorities, and stakeholders who disagree.
Working knowledge of data modeling, pipelines, semantic layers, BI tools, and data quality.
Ability to read and understand SQL at minimum.
Understanding of data governance concepts including definitions, ownership, lineage, and certification.
Direct experience working in or closely with Pattern business domains such as Operations, Finance, Trading, Development, Asset Management, Corporate, or Market Fundamentals.
Experience managing a product backlog or project portfolio.
Familiarity with agile delivery practices such as sprint planning, backlog grooming, and retrospectives.
Experience working with engineering teams to deliver data products, analytics, or BI solutions.
Track record of owning outcomes and demonstrating impact.

Nice To Haves

Familiarity with Databricks, Azure, and Power BI.
Energy industry experience.
Experience with Lean, Six Sigma, or PDCA.
Experience with Azure DevOps or similar delivery tools.
Exposure to data mesh or federated analytics operating models.
Prior experience as an Analytics Product Manager, Product Owner, or Business Analyst in a data-heavy organization.

Responsibilities

Serve as the dedicated data partner for assigned business or data domains, build ongoing stakeholder relationships, understand domain processes and priorities, and anticipate domain analytics needs.
Receive and shape analytics product requests, translate business needs into actionable scope, prioritize work based on complexity, value, and risk, and place work on the product roadmap.
Own delivery outcomes, quantify value created, track adoption and feedback, support continuous improvement, and ensure product issues have defined resolution steps and runbooks.
Lead a cross-functional, domain-aligned pod consisting of roles such as analytics engineers, data scientists, data engineers, and data architects as needed, coordinating work through influence rather than formal authority.
Ensure delivered data products comply with governance standards, surface definition conflicts, ownership gaps, or quality issues, and provide domain context to governance processes.
Participate in backlog grooming, portfolio reviews, sprint demos, and business touchpoints to maintain roadmap alignment and visibility.