Data Analytics Product Lead

4 dni temu


Kraków, Lesser Poland TN Poland Pełny etat

TN Poland seeks an exceptional professional to join our team as an Analytics Product Owner. As a key member of our Infomediary Data Solutions (IDS) business, you will play a critical role in driving revenue growth through the commercialization of existing AI/ML solutions and the development of new ones.

About the Position

This exciting opportunity requires a unique blend of technical expertise and business acumen. You will work closely with internal stakeholders to define product vision and roadmap for AI/ML initiatives, ensuring alignment with business goals and objectives. Your responsibilities will include leading the product development lifecycle from ideation to launch, collaborating with clients and client-facing teams to measure and improve adoption, and staying up-to-date on industry trends and regulatory requirements.

Your Key Responsibilities:

  • Define product vision and roadmap for AI/ML initiatives, ensuring alignment with business goals and objectives.
  • Lead the product development lifecycle from ideation to launch, bringing high-value analytics products to market.
  • Collaborate with clients and client-facing teams to measure and improve adoption of analytics products.
  • Stay up-to-date on industry trends, emerging tech, and regulatory requirements in both ML and financial services.
  • Communicate project status, milestones, and key insights to stakeholders, including senior management and external partners.
  • Drive ML Ops maturity in partnership with Systems teams.

What We Offer:

  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Finance, or a related field.
  • 7+ years of experience in product management, software engineering, or data science with a focus on AI/ML solutions.
  • Deep understanding of ML techniques and algorithms, including ML Ops.
  • Strong domain knowledge and familiarity with regulatory and security requirements in the financial services industry.
  • Proven track record of successfully delivering ML projects from ideation to production deployment.
  • Experience working with agile development methodologies.


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