Principal Technical Program Manager - Data Intelligence, AI & Delivery Tooling
$102.3k - $209.5k/yr+ Bonus + Equity
Expert
Nashville, TN, USA
In PersonThis is a full-time on-site role in Nashville, Tennessee.
Project & Program ManagementProgram Management
About the job
Requirements
- Experience building data-intensive applications or internal engineering tools.
- Strong SQL skills and experience analyzing large datasets.
- Experience with Python or similar programming languages.
- Experience with APIs, automation frameworks, and system integrations.
- Experience building dashboards using Power BI, Tableau, Looker, or similar platforms.
- Familiarity with cloud-native architectures and distributed systems.
- Experience implementing Large Language Model or Generative AI solutions in enterprise environments.
- Understanding of prompt engineering, vector databases, embeddings, and Retrieval-Augmented Generation workflows.
- Experience working with structured and unstructured datasets.
- Knowledge of machine learning fundamentals and predictive analytics.
- Demonstrated success leading complex technical programs involving multiple stakeholders.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to influence without direct authority.
- Experience supporting cloud infrastructure or large-scale operational organizations.
- Experience developing executive reporting and operational dashboards.
- Experience improving business processes through automation.
- Familiarity with data center operations, infrastructure delivery, or the cloud deployment lifecycle.
Responsibilities
- Develop scalable data pipelines that aggregate information from multiple enterprise systems into a trusted source of truth.
- Design and implement executive dashboards and reporting solutions that provide real-time visibility into delivery health, schedule performance, resource utilization, and risk.
- Define and maintain key performance indicators and delivery metrics that improve operational decision-making.
- Analyze large and complex datasets to identify trends, bottlenecks, risks, and opportunities for process improvement.
- Drive adoption of data-driven decision-making across Data Center Delivery.
- Identify and implement practical Generative AI and Large Language Model use cases that improve engineering productivity and operational efficiency.
- Design AI-powered assistants that help teams summarize project status, identify delivery risks, generate reports, and answer operational questions.
- Evaluate emerging AI technologies and recommend solutions appropriate for enterprise-scale deployment.
- Develop prompt engineering strategies and Retrieval-Augmented Generation workflows that leverage internal operational data.
- Partner with security and governance teams to ensure responsible AI practices and data privacy compliance.
- Lead the development of internal tools that automate manual processes and reduce operational overhead.
- Design integrations across enterprise platforms such as Jira, reporting systems, asset management tools, and data warehouses.
- Define technical requirements and work closely with software engineering teams to deliver scalable applications.
- Continuously identify opportunities to eliminate repetitive work through automation and workflow optimization.
- Lead cross-functional initiatives involving Engineering, Data Engineering, Operations, Product Management, and Infrastructure teams.
- Translate business problems into technical roadmaps with clear milestones and measurable outcomes.
- Manage project plans, dependencies, risks, and stakeholder communications.
- Prioritize initiatives based on business impact and engineering capacity.
- Drive execution while maintaining alignment across multiple organizations.
- Establish metrics to measure tool adoption, operational efficiency, and business impact.
- Promote best practices for data quality, governance, documentation, and knowledge sharing.
- Champion a culture of experimentation, innovation, and continuous improvement.
About the company
Oracle builds databases, business applications, and cloud infrastructure for companies and public-sector organizations. Oracle Database stores and processes business data, while Oracle Cloud Infrastructure provides computing, storage, and networking for applications and AI workloads. Fusion Cloud Applications support finance, human resources, supply chains, and customer service, helping businesses manage everyday operations and reporting. Customers pay for cloud subscriptions and usage, software licenses, support, hardware, and consulting, with deployment options in Oracle's cloud or their own data centers. Oracle was founded in 1977 and is headquartered in Austin, Texas.
Company Size
10,001+
Company Stage
IPO
Headquarters
Austin, Texas
Founded
1977
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Simplify's Take
What believers are saying
- Cloud infrastructure sales grew: Oracle reported $7.4 billion quarterly revenue, up 121% yearly, in September 2026.
- Employees build transferable skills: Oracle offers free product certifications and access to Coursera, O'Reilly, and LinkedIn Learning.
- Existing licenses create repeat business: Oracle sells annual technical support covering software updates, fixes, and assistance.
What critics are saying
- Expansion consumes cash: Oracle reported negative $5 billion free cash flow for its August 2026 quarter despite profitable operations.
- Job security faces active restructuring: Oracle's September 2026 filing added $700 million to a plan centered on employee severance.
- Future datacenters lock in costs: Oracle's September 2026 filing lists $288 billion of future lease commitments, typically lasting 15-19 years.
What makes Oracle unique
- Its database runs inside rival clouds: Oracle delivers native database services in AWS, Azure, and Google Cloud datacenters.
- Global expansion keeps one rate card: Oracle charges the same OCI service prices across regions, including government clouds.
- Hardware participates in database work: Oracle's Exadata storage servers process data-intensive queries alongside specialized database servers and networking.
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Benefits
- 401(k) Savings and Investment Plan with company match
- 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.
- 11 paid holidays
- 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.
- Paid parental leave
- Adoption assistance
- Employee Stock Purchase Plan
- Financial planning and group legal
- Voluntary benefits including auto, homeowner and pet insurance