Analytics Product Owner

Responsibilities

Product Vision & Strategy: Define and champion the product vision, value proposition, and roadmap in close collaboration with business stakeholders. Clearly communicate the product vision, strategy, and priorities to the product team, business leads, and stakeholders, ensuring alignment throughout the product lifecycle.

Product Backlog Management & Refinement: Define and manage the roadmap for shared data sets, prioritizing based on use case needs in collaboration with business and the data delivery team. Ensure the data model remains agnostic to specific use cases. Specify and document governed Business Objects to prepare data for use cases.

Translate the product vision into actionable user stories, features, and specifications, creating and maintaining a prioritized product backlog. Continuously groom and refine the backlog, ensuring it reflects evolving business needs and priorities. Sprint Planning & Execution: Collaborate with the product team on sprint planning, providing context and clarity on user stories and acceptance criteria.

Review sprint deliverables and provide feedback, ensuring alignment with the product vision and maximizing value delivery. Stakeholder Management & Communication: Regularly demo product increments to stakeholders, gathering feedback and incorporating it into the product backlog. Collaborate with customers, stakeholders, and subject matter experts to identify and prioritize features that maximize product ROI.

Performance Measurement & Reporting: Define and track key performance indicators (KPIs) related to product efficiency, quality, and business value. Regularly report on product performance, highlighting key trends, successes, and areas for improvement.

Required Skills

Soft Skills: Excellent communication, interpersonal, and collaboration skills. Strong analytical and problem-solving abilities. Self-motivated and comfortable making informed decisions. Ability to influence and negotiate with stakeholders. Technical Skills: Deep understanding of data management principles and practices.

Proficiency in SQL and experience with cloud platforms (e.g., Google Cloud Platform). Familiarity with statistical programming languages (e.g., Python, R) is a plus. Project Management: Strong Agile project management experience. Proven ability to manage and prioritize competing demands. Experience working with cross-functional teams in a dynamic environment.

Qualifications

Bachelor's degree in a relevant field (e.g., Business Analytics). 7+ years of experience in data management, business intelligence, or analytics. Proven track record of delivering data-driven solutions. Experience with product ownership methodologies and frameworks.