Sr. Analyst, Digital Product

Overview:

Who We Are

As the nation's largest producer of clean, carbon-free energy, Constellation is focused on our purpose: accelerating the transition to a carbon-free future. We have been the leader in clean energy production for more than a decade, and we are cultivating a workplace where our employees can grow, thrive, and contribute.

Our culture and employee experience make it clear: We are powered by passion and purpose. Together, we're creating healthier communities and a cleaner planet, and our people are the driving force behind our success. At Constellation, you can build a fulfilling career with opportunities to learn, grow and make an impact. By doing our best work and meeting new challenges, we can accomplish great things and help fight climate change. Join us to lead the clean energy future.

Total Rewards

Constellation offers a wide range of benefits and rewards to help our employees thrive professionally and personally. We provide competitive compensation and benefits that support both employees and their families, helping them prepare for the future. In addition to highly competitive salaries, we offer a bonus program, 401(k) with company match, employee stock purchase program; comprehensive medical, dental and vision benefits, including a robust wellness program; paid time off for vacation, holidays, and sick days; and much more.

Expected salary range of $111,600 to $124,000, varies based on experience, along with comprehensive benefits package that includes bonus and 401(k).

Responsibilities:

Primary Purpose of Position

The Digital Product Sr Analyst supports the delivery of specific functionality within our digital products. This role is designed for professionals who have gained foundational experience in business analysis or product support and are ready to take on more direct responsibility in backlog management, user story development, and stakeholder engagement. The Digital Product Sr Analyst will begin to act as the "voice of the business" in Agile ceremonies while still receiving mentorship from senior product leaders. This role sits on the business side and requires strong business acumen, the ability to engage with stakeholders, and emerging skills in managing AI-driven workflows.

Primary Duties and Accountabilities

- Translate business needs into user stories and acceptance criteria for technical refinement.

- Partner with the Product Owner/Product Lead to groom and prioritize the product backlog, balancing business value and delivery feasibility.

- Draft and refine prompts for AI agents, evaluating results for accuracy and to support production functionality and user experience.

- Collaborate with technical business analysts to prepare stories for development.

- Partner with business stakeholders to clarify requirements and communicate status updates.

- Participate in user acceptance testing (UAT), helping to validate delivered functionality against requirements.

- Represent assigned functionality from the business perspective in daily standups, sprint reviews, and retrospectives.

Minimum Qualifications

- Bachelor's degree in Business, Marketing, Economics, Information Systems, Data Science or related field and 5-years of experience in product management, business analysis, or related field. In lieu of a degree, 9-years of experience

- Demonstrated strong ability to translate business needs into clear, structured requirements

- Experience collaborating with cross-functional teams and stakeholders

- Travel required as necessary to meet business needs and in-person attendance for trainings, all-hands meetings, and other moments that matter

- Familiarity with business economics and ROI concepts

- Ability to regularly co-locate with working teams in an office setting

Qualifications:

Preferred Qualifications

- Advanced degree in a relevant discipline

- Exposure to writing or refining prompts for AI agents, chatbots, or digital assistants

- Exposure to digital product management

- Prior experience supporting backlog refinement or sprint planning

- Familiarity with Agile/Scrum methodologies

- Knowledge of backlog management tools (e.g., Jira, Azure DevOps, Trello)

- Strong analytical mindset and comfort with data-driven decision making