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
Who's the hiring manager?
Sign up to PitchMeAI to discover the hiring manager's details for this job. We will also write them an intro email for you.

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
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.
Frequently Asked Questions
Find answers to common questions about this job opportunity
01What does a Data Research and Development Manager at Oracle OCI AI Science do?
02What technical skills are crucial for the Data Research and Development Manager role at Oracle?
03How does Oracle's AI Science team approach data governance and compliance?
04What kind of management experience is Oracle looking for in this Data Research and Development Manager role?
05How important is cloud environment experience for this Oracle position?
06Does Oracle support professional development for its Data R&D Managers?
07What makes the Oracle OCI AI Science team unique?
08How does this Data Research and Development Manager role contribute to Oracle's overall AI strategy?
09What is the typical salary range for a Data Research and Development Manager at Oracle?
10Are there opportunities to work with privacy-preserving ML in this role at Oracle?
Explore similar opportunities that match your background