Senior Product Manager/Strategy
Listed on 2026-01-02
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IT/Tech
AI Engineer, Data Analyst
Job Description
As a core member of the product team, you’ll define and prioritize features, partner closely with engineering and UX, and work with customers and field teams to translate real-world needs into impactful product capabilities. The ideal candidate has experience in product management, a strong understanding of analytics and BI tools, and a passion for building data and AI-driven applications. You should be comfortable working cross-functionally, communicating clearly with both technical and non-technical stakeholders, and advocating for the customer throughout the product lifecycle.
This is a unique opportunity to help lead the evolution of Oracle Analytics—bringing together data, AI, and user experience to create powerful, modern decision-making tools.
Responsibilities- Define and drive the product roadmap for AI-powered experiences in Oracle Analytics, focusing on intelligent insights, natural language interaction, automation, and usability.
- Translate AI innovations into practical product requirements that enhance trust, transparency, and performance across analytics workflows.
- Build AI features that enable natural language interaction for exploring data, generating insights, and automatically creating dashboards.
- Drive the development of AI agents that assist users in data exploration, workflow automation, and decision-making within Oracle Analytics.
- Collaborate closely with engineering, design, and data science teams to design and deliver AI-driven features that enrich the analytics experience.
- Engage with customers, partners, and field teams to understand AI-related use cases, validate business impact, and ensure that solutions deliver measurable value.
- Analyze product usage data and adoption patterns to prioritize enhancements and ensure AI features drive meaningful business outcomes.
- Work with Oracle’s broader ecosystem including Fusion Applications, OCI AI Services, and Database capabilities to deliver seamless AI integrations.
- Educate and influence stakeholders across Oracle to adopt AI-driven strategies, ensuring alignment in development and responsible AI practices.
- Represent Oracle Analytics as a thought leader on AI in customer engagements, technical deep dives, industry events, and marketing efforts.
- Stay ahead of market trends in AI, natural language technologies, and analytics to inform product direction and innovation.
- Partner with go-to-market teams to ensure readiness, enablement, and effective positioning of AI-powered analytics.
Support global collaboration across distributed AI and analytics teams, adapting to flexible work hours when necessary.
Core Product Management Skills- Proven experience defining product roadmaps, writing clear requirements, and managing complex product life cycles.
- Strong ability to translate customer needs and market trends into actionable product priorities.
- Excellent stakeholder management and communication skills, with experience aligning diverse teams (engineering, design, field, and leadership).
Strategic thinking combined with detail-oriented execution and prioritization.
Technical Skills- Solid understanding of AI concepts, including natural language processing, conversational interfaces, and AI-powered assistants or agents.
- Experience with analytics platforms, data visualization, and dashboard‑building technologies.
- Familiarity with enterprise software architecture, APIs, and cloud platforms.
- Ability to work closely with engineering teams to evaluate technical trade‑offs, ensure feasibility, and drive delivery of AI features.
Understanding of data governance, security, and responsible AI practices.
Domain Knowledge- Knowledge of analytics workflows, including data exploration, reporting, and dashboard creation.
- Awareness of trends in AI‑driven analytics, query interfaces, and automated insights.
Familiarity with enterprise business applications and how analytics integrates with them.
Soft Skills- Strong customer empathy with the ability to translate feedback into impactful features.
- Excellent communication skills both technical and non‑technical, for engaging with customers, sales, and leadership.
- Comfort representing products externally in customer meetings,…
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