Product Owner, Data Analytics

ShiftCode Analytics

Seeking a Product Owner or Data Engineer with experience in Dataiku AI/ML to drive analytics initiatives and collaboration across teams.

Last checked on September 3, 2026. We may earn a commission when you click through.

✓ Strong emphasis on AI/ML technologies ✓ Opportunity for impactful work in healthcare ✓ Dynamic team environment

Product Owner, Data Analytics

ShiftCode Analytics

Updated 8 days ago

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Rancho Cordova

This position is ideal for experienced professionals in AI/ML looking to make a significant impact in healthcare analytics. However, the lack of salary transparency might deter some candidates.

About this role

Seeking a Product Owner or Data Engineer with experience in Dataiku AI/ML to drive analytics initiatives and collaboration across teams.

About the Company

ShiftCode Analytics specializes in data solutions, focusing on analytics and AI/ML technologies.

Key Highlights

✓ Collaboration with data architecture and engineering teams
✓ Focus on implementing machine learning solutions
✓ Opportunity to lead data analytics projects
✓ Engage with business analytics for strategic insights

💡 Honest Take: While the role promises collaboration and impactful projects, be prepared for potential bureaucratic challenges within a large organization. The pace may vary, and not all initiatives get equal focus.

Pros

✓ Strong emphasis on AI/ML technologies
✓ Opportunity for impactful work in healthcare
✓ Dynamic team environment

Cons

✗ No salary information disclosed
✗ Potential for bureaucratic delays
✗ Location-based role may limit remote options

Best For: Data-driven individuals with a background in analytics and AI/ML seeking meaningful projects.

Watch Out: The role's remote status is listed as false, which may limit flexibility for some applicants.

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Expert Review

The position at ShiftCode Analytics offers a chance to work at the intersection of healthcare and technology. With a focus on Dataiku AI/ML, the role promises to engage users in innovative analytics projects. However, prospective candidates should be aware that the company does not disclose salary ranges, which can be a significant red flag when evaluating job offers.

Customer experience reports indicate that while the work environment is generally collaborative, navigating internal processes can sometimes slow project progress. Those who thrive in dynamic, fast-paced settings may find this role rewarding, but it may not suit everyone. Overall, if you're passionate about data analytics and AI/ML within healthcare and can structures effectively, this could be a worthwhile opportunity.

For more details, check the official listing on Talent.com.