Director, Software Engineering – Oracle Health Data Intelligence (M4)

At Oracle Health Data Intelligence (HDI), we combine the strengths of the OCI, the leading cloud provider, and leading healthcare technology platforms from Oracle Health. Oracle HDI organization has a rare opportunity to play a critical part in impacting and disrupting the healthcare and life sciences industries by transforming how these industries and technology intersect. We are investing heavily in the life sciences and healthcare industries by using our deep technical expertise to focus on making a global impact and filling a societal need which will improve the health experience for all. 

 

As Director of Software Engineering (M4), you will lead a high-impact team delivering deep research capabilities including conversational analytics, cohort building, and multi-step agent workflows that operate over governed RWD and customer BYOD assets with rigorous security, audit, and data lifecycle controls. You’ll define strategy, build and scale cloud services, integrate with platform components, and run “always-on” operations.

 

Values are Oracle’s foundation and how we deliver excellence. We strive for equity, inclusion, and respect for all. We are committed to the greater good in our products and our actions. We are constantly learning and taking opportunities to grow our careers and ourselves. We challenge each other to stretch beyond our past to build our future. You are the builder here. You will be part of a team of inquisitive, motivated, and a diverse group of people and given the autonomy and support to do your best work. It is a dynamic and flexible workplace where you’ll belong and be encouraged. 

• Join a team at the ground level and help build scalable cloud-native services

• Hire, grow, and lead impactful, distributed engineering teams; foster a culture of reliability, ownership, and continuous improvement

• Work across the organization to define and provide inputs to the technology strategy, infrastructure and architecture vision that supports the successful execution of the product roadmap and business strategy

• Take ownership of defining and driving roadmaps for critical customer facing capabilities

• Be the point of contact for service critical issues and drive Corrective Actions/Preventive Actions

• Collaborate with product managers, architects, and technical leads to steer the team towards continuous delivery and improvement

• Directly and indirectly manage globally distributed engineering team that is fast growing

• Allocate resources, set priorities, and manage schedules for the team

 

Qualifications

- Bachelor’s degree in computer science, Engineering, or a related technical field or relevant experience.

- 12+ years in software engineering (2+ years building cloud services) with a track record of architecting and shipping complex, low-latency, scalable systems.

- 5+ years of senior engineering management leading multiple teams, including globally distributed teams, with strong hiring and org-building experience.

- Deep expertise in distributed systems, operating SaaS/managed services at scale with on-call and incident leadership.

- Proven experience running production operations with security, compliance, observability, and DR disciplines.

- Strong knowledge of large-scale compute, networking, and storage.

 

Preferred Qualifications

- MS in CS/EE or equivalent experience.

- Hands-on AI/ML platform experience: designing and operating LLM/agentic systems (planning, tool use, trace logging), retrieval/RAG over structured and unstructured data, vector indexing, prompt/trace governance, and evaluation pipelines

- Compliance-by-design in regulated environments: immutable audit trails, dataset/code lineage and versioning, zero data retention policies, governed exports, and point-in-time replay

- Cloud architecture experience and multi-cloud patterns for secure, scalable services

- Enterprise security expertise: SSO, role- and attribute-based access controls, network segmentation, encryption in transit/at rest, secure BYOD connectors, and tenancy isolation for customer data

- Healthcare/real-world data platform familiarity: EHR-derived datasets, governed catalogs/lineage, and integration patterns across platform teams

- Experience with heterogeneous databases, large-scale compute/storage, and streaming/batch processing; strong observability, SRE, and disaster recovery practices

- Proven success leading and scaling globally distributed engineering teams and partnering with Product and Applied Science on measurable AI/ML outcomes

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 speci