Director - FDI Pipeline Data Model Team

Job Description

Oracle Analytics is used by customers across the world to discover deep insights about their business, improve collaboration around a single view by securely including all relevant data, and increase agility by quickly spotting patterns and powering data-driven decisions with AI and machine learning.

Oracle Fusion Data Intelligence platform (FDI) is the next generation of Oracle Fusion Analytics Warehouse built for Oracle Fusion Cloud Applications, bringing together business data, ready-to-use analytics, and prebuilt AI and machine learning (ML) models to deliver deeper insights and accelerate the decision-making process into actionable results.
The backbone of FDI is the lights-out data pipeline that manages the data warehouse for all the customers. For details about the product, visit
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FDI Pipeline Data Model team defines the application development language and uses the same to build applications - deliver analytic data models for Fusion, NetSuite, Salesforce etc. sources.
As one of the senior technical leads on this team, you'll define and drive the architectural vision for scalable, secure, and innovative data models and platforms supporting analytics and AI initiatives. You'll lead the design and implementation of enterprise data solutions, set organization-wide standards, and collaborate with leaders across product, pipeline engineering, and content analytics teams. Your expertise will guide the integration of new technologies and influence data strategy at scale, ensuring industry-leading data quality, governance, and performance. In this role, you will mentor technical talent and help shape the future direction of FDI. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn.

You will manage teams consisting of engineers of all levels and development managers responsible for data model development
You should be comfortable with managing and providing technical leadership at developing data model that leverages the core pipeline platform strengths.
This role will drive major aspects of our product definition, supply to the product strategy of our solutions, and is paramount to the reliability and efficiency of cloud native multi-tenant analytic solutions that customers rely on for their mission critical decision making.

Responsibilities

You will
Play a hands-on role in designing, developing, and optimizing scalable, secure data models and pipelines that power FDI analytics, machine learning, and AI-driven solutions.
Serve as the primary subject matter expert and technical authority across multiple Fusion/NetSuite etc. modules, or entire pillars such as ERP, HCM, or SCM.
Lead and influence key architectural decisions, setting technical direction, standards, and best practices for data modeling, automation, language processing, and user interface integration.
Build strong relationships and partner with Pipeline engineering, product, and Content analytics leads to ensure alignment of technical solutions with business objectives, advocating for customer benefits.
Full ownership and accountability for release features as Feature Owner, driving progress, coordinating across teams, and resolving roadblocks.
Conduct thorough code and design reviews to ensure high performance, maintainability, and extensibility of team deliverables.
Troubleshoot and resolve complex, high-impact data, pipeline, and platform issues, delivering robust and reliable end-to-end solutions.
Drive innovation through adoption and hands-on implementation of new technologies, frameworks, and engineering approaches to continuously evolve FDI's data platform capabilities.
Mentor and coach engineers across the Pipeline and FDI teams on data management/modeling, building technical excellence and fostering a collaborative, innovation-driven culture.
Actively participate in planning, technical design reviews, and cross-team forums, shaping the strategic data architecture for FDI

You have:
Bachelor's or Master's degree in Computer Science, Engineering, or related field, with 10+ years of hands-on experience architecting large-scale data solutions.
Deep understanding of business processes and sources like Fusion.
Advanced programming skills in Python, PySpark, Java, Scala and SQL, with proven success designing cloud-native data pipelines and platforms (Oracle Cloud, AWS, Azure, Google Cloud Platform).
Strong command of data modeling, using leading tools and modern techniques (3NF, Dimensional, Data Vault, etc.) to create and maintain scalable enterprise data models.
Hands-on experience with Spark, ETL/ELT frameworks, real-time streaming (Kafka/EventHub), and automation across diverse data environments.
Practical background in AI, LLMs, or machine learning-enabled development-and an eagerness to innovate and learn as the tech evolves.
Natural collaborator and mentor, comfortable guiding both technical teams and business partners, and able to communicate complex ideas with clarity and impact.
Passionate about driving strategy, setting technical direction, and helping teams deliver reliable, actionable business insights to customers in a fast-paced, agile environment.

Qualifications

Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $122,500 to $291,800 per annum. May be eligible for bonus, equity, and compensation deferral.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
Career Level - M4

About Us

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