NextEra is seeking a hands-on product leader to join the Transformation Office within the Business Management organization. Business Management owns the P&L for one of the largest renewable asset portfolios in the world and is responsible for ensuring these assets meet their financial commitments through: • Acting as the CEO of the assets • Maximizing revenue and optimizing operational performance • Driving optimal commercial and regulatory outcomes The Transformation Office is building a portfolio of decision-support products - optimization engines, scenario and lifecycle financial models, and the reporting and governance layer around them - that change how multi-billion-dollar operating and capital decisions are made across the fleet. The strategy and the analytical thinking are in place. What we need now is someone who can land them. In this role you will be the product owner and delivery spine for that portfolio. You will sit between the business - Business Management, Power Generation (PGD), Operations and Finance - and the technical teams that build, including internal data science and engineering groups and external analytics and consulting partners. You will turn business intent into precise, testable requirements; drive the build through to production; and own the harder half of the job: adoption. Success in this role is not a model that works. Success is a planner, a business manager or an operating committee changing what they actually do because of it. This is a role for someone who is genuinely bilingual. You will need to be credible enough with data scientists to challenge an objective function, a data assumption or a validation approach, and credible enough with operators and executives to explain in plain business language why the answer is right and what it is worth. You will also be the person who keeps the program honest: clear owners, dates, decisions, dependencies and risks, communicated on a reliable cadence, with early and specific escalation when something starts to drift. You will operate with a high degree of autonomy in an environment with real ambiguity. You are expected to own the decision framing for your products - not simply take dictation - and to bring a point of view on what should be built, in what order, and why.
Ideal Qualifications:- Bachelor's degree in engineering, Computer Science, Data or Information Science, Finance, Economics, Business or a related field; an advanced degree is a plus.
- 7+ years of experience in technical or data product management, product ownership, analytics delivery leadership, technical program management, or a comparable role translating business needs into analytics and software builds.
- Demonstrated ownership of at least one analytics, optimization, forecasting or decision-support product taken from concept through production and into real business adoption, with a specific, quantified outcome you can describe in detail.
- Technical fluency sufficient to be a true counterpart to data scientists and engineers: comfortable discussing objective functions and constraints, model assumptions and validation, data pipelines and data quality, and the trade-offs among accuracy, speed and usability. SQL or Python literacy and hands-on experience with a modern data platform such as Databricks or Snowflake are a strong plus. You are not expected to build the models.
- Excellent requirements craft - user stories, acceptance criteria, process and decision mapping - with the discipline to make ambiguity concrete and testable.
- Proven execution and accountability muscle: running multi-workstream plans, driving owners and dates, managing dependencies and risk, and escalating well. Experience with Agile ways of working and tools such as Jira or Azure DevOps.
- Strong business judgment, including enough financial literacy to understand the economics of the decision being supported - revenue at risk, cost, capital and risk-return trade-offs - and to prioritize by value rather than by whoever asked loudest.
- Exceptional communication and stakeholder influence skills across very different audiences, from field operations through senior executives, including clear and concise executive written and verbal communication.
- A track record of driving adoption and behavior change, not only delivery: pilots, training, playbooks and retiring the legacy way of working.
- Experience in an asset-intensive industry - energy, utilities, renewables, aviation, rail, marine, mining, heavy manufacturing or logistics - is a plus.
- Familiarity with maintenance planning, scheduling or dispatch optimization, asset performance management, or total cost of ownership concepts is a plus.
- Experience working within or alongside a consulting or analytics partner delivery model is a plus.
- Experience with financial modeling, scenario analysis or capital allocation frameworks is a plus.
