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

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.

Responsibilities

  • 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 Tools
  • Data Governance
  • Machine Learning
  • Data Annotation
  • Software Development
  • Project Management
  • Agile/Scrum
  • Cloud Infrastructure (OCI)
  • Compliance
  • Team Leadership

Tags:

Data Research and Development Manager
AI data tools
data governance
data annotation
software development
project management
team management
compliance
data preprocessing
analytics
process improvement
AI
Machine Learning
Data Pipelines
Cloud Infrastructure
Agile
Scrum
Python
SQL
Big Data
Data Security

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How to Get Hired at Oracle

  • Research Oracle's AI Vision: Study Oracle Cloud Infrastructure's AI strategy, recent innovations, and how the AI Science team contributes to their market leadership.
  • Tailor Your Resume for Impact: Customize your resume to highlight extensive experience in AI data tooling, data governance, large-scale data pipeline management, and technical leadership roles.
  • Showcase Technical Management Prowess: Prepare to discuss specific examples of leading multidisciplinary teams, driving software development for AI/ML data initiatives, and delivering complex projects using Agile/Scrum.
  • Emphasize Cross-functional Collaboration: Detail instances where you've successfully partnered with legal, product, and development teams to translate requirements into technical solutions, particularly around data privacy and compliance.
  • Demonstrate Strategic Problem-Solving: Be ready to articulate your approach to problem-solving in ambiguous scenarios, managing evolving technical landscapes, and championing process improvements for data excellence.

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