Job Description

As Product Owner, you’ll lead a team in a fast-paced environment, collaborating with a wide range of contributors such as developers, architects, and analysts. You’ll dive into new areas of the product lifecycle, contributing tangible value across multiple phases. Along every step of the way, you’ll be empowered to participate in key decision-making and use your skills, thought leadership, and passion to drive yourself and your team forward.

About you

• You’re obsessed with understanding customer needs and laser-focused on driving the product requirements that align with them.
• You have a passion for emerging technologies.
• You have proven expertise in industry SDLC best practices and delivery excellence.
• You’re a pro at integrating usability studies, research, and market analysis into product requirements to enhance user satisfaction.

About the Team

The Logic20/20 Advanced Analytics team is where skilled professionals in data engineering, data science, and visual analytics join forces to build simple solutions for complex data problems. We make it look like magic, but for us, it’s all in a day’s work. As part of our team, you’ll collaborate on projects that help clients spin their data into a high-performance asset, all while enjoying the company of kindred spirits who are as committed to your success as you are. And when you’re ready to level up in your career, you’ll have access to the training, the project opportunities, and the mentorship to get you where you want to go.

“We build an environment where we really operate as one team, building up each other’s careers and capabilities.” – Adam Cornille, Senior Director, Advanced Analytics

Qualifications

• 5-10 years of experience as a technical product owner managing complex data science, data engineering, and/or software development products.
• Experience working with data engineering teams.
• Strong understanding of the software development process, including Agile and Scrum.
• Agile Scrum, Scrum Master, and/or SAFe certifications, such as CSM, PSM, CSPO, etc.
• Experience in the utilities industry.
• Bachelor’s degree in computer science, software engineering, applied sciences, mathematics, statistics, econometrics, or a related field.

Preferred qualification

• Consulting experience is highly preferred.
• Experience with data & analytics product development within Palantir Foundry.

Additional Information

At Logic20/20, we believe in recognizing and rewarding exceptional talent. Logic20/20 offers a competitive compensation package, with a target base salary range of $139,752 - $153,408 for this role. The final base salary offered is dependent on factors such as relevant experience, skills, qualifications, and location. Eligible employees may also qualify for performance-based bonuses and other incentives.

All your information will be kept confidential according to EEO guidelines.

Learn more about life at Logic20/20!

Visit our Life at Logic page to explore our culture, benefits, and what makes Logic20/20 a great place to grow your career!

Core Values

At Logic20/20, we are guided by three core values: Drive toward Excellence, Act with Integrity & Foster a Culture of We. These values were generated and agreed upon by our employees—and they help us pursue our goal of being one of the best companies to work for and to work with. Learn more at https://www.logic2020.com/company/our-values.

Equal Opportunity Statement

We believe that people should be celebrated: for their talents, ideas, and skills, but most of all, for what makes them unique. We prohibit harassment and/or discrimination based on age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.

To learn more about our DE&I initiatives, please visit: https://www.logic2020.com/company/diversity-equity-inclusion

Privacy Policy

During the recruitment and hiring process, we gather, process, and store some of your personal data. We consider data privacy a priority. For further information, please view our company privacy policy.