Product Owner – Enterprise Data & AI

🕒 4 dias atrás

⚔️ Virginia – Remoto

⚔️ Virginia – Remote

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

✅ Gerente de Produto

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Navitas Business Consulting, Inc.

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2006

🤖 Inteligência Artificial

🔒 Cibersegurança

☁️ SaaS

Artificial Intelligence • Cybersecurity • SaaS

A Navitas Business Consulting, Inc. é dedicada a melhorar vidas por meio da aceleração digital, oferecendo soluções e serviços tecnológicos premiados. Com expertise em migração para a nuvem, insights de dados, inteligência artificial e cibersegurança, a Navitas faz parceria com clientes para enfrentar desafios complexos e aprimorar a eficiência operacional. Os valores essenciais da empresa de integridade, paixão, compromisso e colaboração conduzem sua missão de entregar soluções inovadoras que capacitam organizações e comunidades.

Descrição

• Define and maintain the product backlog for the Data & AI platform, ensuring alignment with the university’s long-term strategic plan and near-term priorities. • Collaborate with faculty, researchers, administrators, and IT leaders to gather requirements and identify high-value data and AI use cases. • Create, refine, and prioritize the product backlog based on business value, compliance requirements, and technical feasibility. • Collaborate with data engineers, AI/ML specialists, developers, and architects to deliver platform features and enhancements. • Partner with institutional data governance groups to enforce data security, compliance, and stewardship and quality standards and processes. • Communicate platform benefits, features, and updates to stakeholders. • Monitor product performance, collect feedback, and adjust priorities based on evolving institutional needs.

🎯 Requisitos

• Bachelor’s degree in Information Science, Information Systems, Computer Science, Data Science, Business Administration, or related field (Master’s preferred). • 5+ years of experience in product ownership, business analysis, or project management, ideally in data, analytics, or AI-focused environments. • Experience in higher education, research, or public sector environments strongly preferred. • Proven track record of helping deliver enterprise grade data & AI platforms and products within SAFe Agile environments. • Strong understanding of data & AI platforms, data lakes/warehouses, ETL pipelines, APIs, and cloud environments (e.g., Databricks, AWS, Azure, GCP, Salesforce Data Cloud). • Working knowledge of Data Governance (e.g. Purview) and Master Data Management (e.g. Profisee) tools. • Familiarity with AI/ML concepts, predictive analytics, and responsible AI frameworks. • Working knowledge of BI/analytics tools (e.g., Tableau, Power BI, Salesforce CRM Analytics, Looker). • Experience with data governance, privacy, and compliance (FERPA, HIPAA, GDPR, etc.).

🏖️ Benefícios

• E-Verify and Equal Opportunity Employer