4 days ago

Data Research and Development Manager

Oracle

Hybrid
Full Time
$180,000
Hybrid

Job Overview

Job TitleData Research and Development Manager
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$180,000
LocationHybrid

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Job Description

About Oracle AI Science: Data Research and Development Manager

The Oracle Cloud Infrastructure (OCI) AI Science Team is seeking an experienced and driven Data Research and Development Manager to manage our data tooling and dataset efficiency initiatives. This pivotal role requires a technically astute leader who excels in designing AI data solutions, orchestrating efficient execution, and supporting data excellence. You will drive the development of advanced tools that empower our data annotation teams and shape robust data governance across Oracle’s AI portfolio.

Basic Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
  • 7+ years of combined experience in software development, AI data pipeline/tooling, or data science—at least 3 years in a technical management role.
  • Proven expertise in AI training datasets, evaluation metrics, and annotation processes.
  • Demonstrated experience building software solutions to support AI/ML data initiatives, preferably in a large-scale cloud environment.
  • Track record in managing and mentoring teams of developers, engineers, and data professionals.
  • Excellent project management skills, with hands-on familiarity with Agile/Scrum methodologies.
  • Superior communication skills; able to translate business/legal requirements into technical deliverables.

Preferred Qualifications

  • Experience in developing or managing AI training, evaluation, and compliance tooling.
  • Familiarity with privacy-preserving ML, secure data annotation, and enterprise-scale data platforms.
  • Previous collaboration with legal or compliance teams on data and governance topics.
  • Strong problem-solving and strategic thinking skills in ambiguous and evolving scenarios.

Key Responsibilities of the Data Research and Development Manager

  • Guide a multidisciplinary team developing data governance tools, data pre-processing, and analytics platforms to increase annotation efficiency and compliance.
  • Manage the delivery and continuous improvement of platforms that enable effective AI training, evaluation, and monitoring across OCI’s AI programs.
  • Partner closely with legal, product, and development teams to gather requirements, translate them into actionable roadmaps, and deliver on key business objectives.
  • Oversee execution of data governance tooling initiatives, supporting high quality, productivity, and compliance in a rapidly evolving technical landscape.
  • Foster cross-functional communication among program owners, legal, and business stakeholders—including effective reporting on project status and risks.
  • Champion ongoing process improvements, tool automation, and best practices for data handling, privacy, and security.
  • Stay informed on regulatory, ethical, and technical standards for AI model data.

Key skills/competency

  • AI Data Tooling
  • Data Governance
  • AI/ML Data Pipelines
  • Technical Management
  • Software Development
  • Agile/Scrum
  • Data Annotation
  • Privacy-Preserving ML
  • Cloud Infrastructure
  • Stakeholder Communication

Tags:

Data Research and Development Manager
AI Data Tools
Data Governance
AI/ML Data Pipelines
Technical Management
Software Development
Agile/Scrum
Data Annotation
Privacy-Preserving ML
Cloud Infrastructure
Stakeholder Communication

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How to Get Hired at Oracle

  • Research Oracle's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume for Oracle: Customize your resume to highlight experience in AI data tooling, data governance, and technical management, matching keywords from the Data Research and Development Manager job description.
  • Showcase AI/ML expertise: Prepare to discuss your experience with AI training datasets, evaluation metrics, and large-scale cloud AI/ML data initiatives.
  • Prepare for behavioral interviews: Focus on demonstrating leadership, problem-solving, and cross-functional communication skills with specific examples relevant to data management and compliance.
  • Understand Oracle Cloud Infrastructure (OCI): Familiarize yourself with OCI's AI portfolio and how data solutions contribute to a large-scale cloud environment.

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