Senior Product Manager, Big Data Cloud Services
•Understand the market and customer opportunities and design a roadmap for Oracle Big Data Infrastructure Services targeted towards streaming data processing and persistence. Key Deliverables: Product Requirements Documents, Vision Documents for new product functionality.
•Document user stories and acceptance criteria for new features and prioritize them with the development team. Key Deliverables: Well-defined User Stories, continuously prioritized backlog.
• Act as a technical project manager and drive new features through design, development, and deployment. Key Deliverables: Continuously updated project status dashboards.
• Communicate new features and updates to tertiary teams (support, documentation, etc.). Key Deliverables: Release notes.
• Monitor and incorporate qualitative and quantitative feedback about features into new releases of the product. Key Deliverables: Usage dashboards, customer interviews.
• Disseminate product best practices to internal and external stakeholders through the creation of key assets. Key Deliverables: Whitepapers, Tutorials, Cookbooks
• Assist sales teams by appropriately advocating product during interactions with strategic accounts. Key Deliverables: Customer visit reports
• Create assets that highlight product functionality. Key Deliverables: Click-through Demos, Videos
• Represent the product at industry conferences, trade shows, user groups, etc. Travel required. Key Deliverables: Conference/event presentations, Trip reports.
• Support the sales team with non-standard product inquiries and proof-of-concept projects. Key Deliverables: Proof-of-concept documents and software artifacts
• Enable key accounts to be successful and convert them into reference customers. Key Deliverables: Reference customers.
• Experience with Big Data Technologies or traditional Analytics/Data Warehousing solutions.
• In-depth knowledge of Hadoop and related Big Data technologies
• Experience building cloud services is strongly preferred
• Experience managing long-running (2 months ) technical projects and communicating status to project stakeholders.
• Experience writing functional specifications, design documents, user stories, and/or bug reports
• Experience participating in agile development sprints and planning meetings
• Ability to effectively communicate technical problems and solutions through writing and presentations
• Ability to discuss technical details with engineers and business details with sales people
• BA or BS degree required, preferably in Computer Science or a related field
• At least 5 years of experience working in product development, software engineering, or big data, or analytics
Work as part of a team that acts as the central resource and driving force for the design, process, manufacturing, test, quality and marketing of product(s) as they move from conception to distribution. Organize interdepartmental activities ensuring completion of the project/product on schedule and within budget.
As a member of the product development division, you will define product specifications and or strategy. Gather and analyze information to define product specifications and review design specifications. Communicate product strategy and functionality. Initiate and foster relationships with other groups. Review product documentation and collateral. Ensure successful product releases based on corporate priorities.
Duties and tasks are varied and complex, needing independent judgment. Fully competent in own area of expertise. May have project lead role and or supervise lower level personnel. BS or MS degree or equivalent experience relevant to functional area. 4 years of software engineering or related experience.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.
A little about us:
Oracle is shifting the complexity from IT, moving it out of the enterprise by engineering hardware and software to work together—in the cloud.