Description
Come work at a place where we take pride in creating a workplace environment that values hard work, commitment, and growth.
The Product Owner for Data Platform and AI Engineering leads the development of data and AI solutions by managing product roadmaps, collaborating with cross-functional teams, and translating business needs into technical requirements. The role emphasizes agile practices, stakeholder engagement, and innovation through AI technologies. Job Description:Education:
Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Information Systems, or related discipline.
Work Experiences:
5+ years of experience in product ownership or product management within data platforms, AI/ML, or enterprise analytics environments preferred.
Experience in defining and managing product roadmaps for data engineering and AI solutions.
Proven track record of working with cross-functional teams, including data engineers, AI/ML engineers, and business stakeholders.
Experience in Agile/Scrum methodologies and backlog management tools (e.g., Jira, Azure DevOps).
Experience in translating business requirements into technical specifications for data and AI products.
Familiarity with cloud platforms (AWS, Azure, GCP) and modern data stack technologies (e.g., Snowflake, Databricks, Airflow).
Experience in managing stakeholder expectations and delivering high-impact data and AI solutions.
Skills:
Strong analytical and problem-solving skills with a data-driven mindset.
Excellent communication and stakeholder management abilities.
Ability to prioritize and manage multiple initiatives in a fast-paced environment.
Proficiency in data visualization tools (e.g., Power BI, Tableau) and SQL.
Understanding of AI/ML concepts, model lifecycle, and MLOps practices.
Experience with product lifecycle management and user story creation.
Ability to work collaboratively with technical and non-technical teams.
Responsibilities:
Define and maintain the product vision and roadmap for data platform and AI engineering initiatives.
Gather and prioritize requirements from business stakeholders and translate them into actionable user stories.
Collaborate with engineering teams to ensure timely and quality delivery of data and AI products.
Manage product backlog and lead sprint planning, reviews, and retrospectives.
Monitor product performance and user feedback to drive continuous improvement.
Ensure alignment with enterprise data governance, compliance, and security standards.
Facilitate cross-functional collaboration to identify opportunities for AI-driven innovation and automation.
Evaluate emerging technologies and recommend solutions to enhance data and AI capabilities.
Champion the integration of AI capabilities into enterprise data platforms.
Drive adoption of agentic frameworks and generative AI solutions across business functions.
Ensure ethical and responsible AI practices in product development.
Mentor junior product owners and contribute to a culture of innovation and experimentation.
Partner with vendors and external experts to evaluate and implement cutting-edge AI technologies.
Physical Requirements & Attendance
Acceptable level of hearing and vision to perform job duties
Adhere to company work hours, policies, procedures, and rules governing professional staff behavior
Regular office attendance is required.
Academy is an Equal Opportunity Employer and does not discriminate with regard to employment opportunities or practices on the basis of race, religion, national origin, sex, age, disability, gender identity, sexual orientation, or any other category protected by law.
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