Product Owner - MLOps

Remote - United States

Applications have closed

Tiger Analytics

An Advanced Analytics and AI consulting services company. Trusted Data sciences, Data engineering partner for Fortune 1000 firms.Simplify data. Explore more

View company page

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

We are looking for a driven individual to join our team of technology specialists to create next generation of application and products. As a product engineer, you will be building enterprise grade scalable product and applications. This is a hands-on role where you will need to demonstrate skills, experience, and confidence to work closely with cross-functional teams to translate high-level roadmap vision into feasible feature specifications and deliverables

Requirements

  • Be the product owner for the capabilities delivered through the DataIKU platform or any other similar MLOps Platform
  • Develops, tracks and reports KPIs to monitor the effectiveness of the capabilities.
  • Develop strategies and plans to drive end user adoption and optimization
  • Develop and socialize a roadmap of enhancements for the capabilities that reflects business priorities, business value and sets the vision for the capabilities.
  • Manage and communicate tradeoff decisions between scope and schedule while offering alternative solutions.
  • Provide work assignments to the Business Analysts supporting the associated development teams.
  • Works with many internal teams to develop a unified and exceptional customer experience and user experience.
  • Participates in feature assessment, requirements gathering and documentation.
  • Oversee the product backlog and ensure proper prioritization and acceptance criteria are articulated.
  • Communicate product and user experience requirements to development and technology teams.
  • Develops and maintains key stakeholder relationships and communicate progress and evolution of the product roadmap

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Tags: Consulting Consulting firm KPIs Machine Learning Market research MLOps Research

Perks/benefits: Career development

Regions: Remote/Anywhere North America
Country: United States
Job stats:  11  0  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.