Senior Director of Business Intelligence and AI Analytics (Nashville, TN)

Oracle•Nashville, TN

About The Position

The Global Program Controls organization provides governance, reporting, controls processes, cost management support, and portfolio visibility to help Oracle Cloud Infrastructure deliver global data center programs with greater consistency, transparency, and execution discipline. This role is a hands-on technical leadership position responsible for building and deploying dashboards, reports, and AI-enabled analytics that help senior leaders understand operational performance, identify risks, and make informed decisions. The role builds on an established database foundation and existing data-entry and governance processes by turning trusted data into reliable reporting products used in daily work. It integrates information from Oracle Primavera Cloud (OPC), Oracle Primavera Unifier, Oracle APEX applications, and related data sources. The successful candidate personally writes queries, develops reporting models, builds dashboards, connects systems, and deploys solutions into production while establishing reporting priorities and technical standards with business leaders, system owners, and technical teams. The position has substantial technical ownership and may operate as a senior individual contributor leading cross-functional delivery. The candidate will develop executive and operational reporting, reusable datasets, and automated analytical workflows; connect and reconcile enterprise application data; apply and validate AI models for practical reporting use cases; and maintain reporting accuracy, security, performance, and production reliability. They will partner with executives and operational leaders to prioritize delivery, communicate important insights and risks, develop familiarity with data center operations, lead cross-functional work, and train users. The stated U.S. hiring range is $169,800–$355,400 per annum. The role may also be eligible for bonus, equity, and compensation deferral.

Requirements

Approximately 8–12 or more years of relevant experience in business intelligence, analytics engineering, data engineering, technical analytics, or a related discipline, with demonstrated ownership of complex reporting solutions.
Advanced SQL skills and hands-on experience with relational databases, data modeling, data transformation, and query optimization.
Ability to independently build, publish, and maintain production dashboards using an enterprise platform such as Oracle Analytics, Power BI, Tableau, or an equivalent tool.
Proficiency in Python or a comparable programming language for data preparation, API integration, analytical automation, and troubleshooting.
Practical experience working with AI models and integrating them into analytical or business workflows, including evaluating outputs against source data.
Experience extracting and combining enterprise application data through APIs, database connections, or automated integration processes.
Strong understanding of metric definitions, reporting granularity, reconciliation, data quality, and access controls.
Ability to translate ambiguous business needs into working technical solutions and explain findings clearly to senior executives.
Proven ability to lead cross-functional delivery with limited oversight, sound judgment, and persistent follow-through.
Technical depth and willingness to build, commitment to accuracy, intellectual curiosity, clear executive communication, practical judgment about AI, ownership and follow-through, collaborative problem solving, and discretion and integrity.

Nice To Haves

Direct experience with Oracle Primavera Cloud, Oracle Primavera Unifier, or Oracle APEX, including their data structures, reporting, or integration capabilities.
Experience with Oracle Database, PL/SQL, Oracle Analytics, or developing reporting functionality within APEX.
Experience with project controls, schedule and milestone reporting, capital projects, or portfolio analytics.
Experience deploying AI workflows that retrieve approved enterprise information and provide traceable answers or summaries.
Familiarity with data center operations, construction, infrastructure deployment, hardware validation, or commissioning.
Experience setting technical standards, mentoring developers or analysts, or directing vendor delivery.

Responsibilities

Design, build, and deploy executive and operational dashboards covering schedules, milestones, delivery progress, dependencies, and emerging risks.
Translate business questions into metrics, data requirements, reporting logic, and intuitive visualizations with useful filters and drill-downs.
Develop reusable datasets, SQL queries, and reporting models that support multiple dashboards and reduce manual report preparation.
Own reporting solutions from requirements and development through testing, deployment, user adoption, and ongoing maintenance.
Connect OPC, Unifier, and APEX-related data using supported APIs, database views, approved extracts, or existing integration pipelines in coordination with system owners.
Reconcile project identifiers, reporting periods, status definitions, and data granularity across systems.
Build or extend automated data transformations and refresh workflows, and investigate failed loads, stale data, and integration issues with technical teams.
Apply AI models, including large language models where appropriate, to reporting tasks such as summarizing operational updates, explaining variances, and helping users explore approved data.
Use Python, model APIs, and other appropriate tools to prototype, evaluate, and deploy repeatable analytical workflows.
Ground AI-generated insights in verifiable source data, test output quality, and establish human review where needed.
Assess AI model accuracy, reliability, cost, and business value before expanding solutions; protect confidential information through approved tools and access controls.
Use AI-assisted development while independently reviewing and testing generated code, queries, calculations, and conclusions.
Document metric definitions, calculation rules, source mappings, ownership, and data lineage in support of existing governance processes.
Validate dashboard results against source systems and approved business definitions before release, and make refresh timing and data limitations visible.
Implement access controls, version control, release documentation, and monitoring to keep reporting products secure and supportable.
Optimize query and dashboard performance, resolve defects, and work with data owners to address recurring data-quality issues at their source.
Work with executives and operational leaders to identify decisions reporting must support and prioritize a practical delivery roadmap.
Present key insights, risks, and actions clearly, with sufficient supporting detail to answer follow-up questions.
Develop working fluency in data center operations, infrastructure deployment, hardware testing, commissioning, and server turn-up to interpret operational information accurately.
Lead cross-functional delivery with clear owners, milestones, and follow-through; provide technical direction to internal partners or vendors as needed.
Train users, gather feedback, and improve reporting products based on actual use and changing business needs.
Deliver production dashboards and reports using OPC, Unifier, and APEX-related data, with documented calculations and reliable refresh schedules.
Establish reporting that executives and operational teams use regularly to identify schedule changes, delivery risks, and required actions.
Reduce manual reporting effort and recurring reconciliation issues against an agreed baseline.
Demonstrate measurable value from selected AI workflows, with documented validation and clear accountability for outputs.
Ensure reporting solutions are documented, maintainable, supported by clear ownership, and accompanied by user training.

Benefits

Medical, dental, and vision insurance, including expert medical opinion.
Short-term and long-term disability insurance.
Life insurance and accidental death and dismemberment (AD&D) insurance.
Supplemental life insurance for employees, spouses, and children.
Health care and dependent care Flexible Spending Accounts.
Pre-tax commuter and parking benefits.
401(k) Savings and Investment Plan with company match.
Flexible or accrued vacation, depending on eligibility and position; accrual terms vary by work hours and tenure.
11 paid holidays.
Paid sick leave: 72 hours upon hire, refreshed annually, with unused hours carried over up to a 112-hour maximum.
Paid parental leave.
Adoption assistance.
Employee Stock Purchase Plan.
Financial planning and group legal benefits.
Voluntary auto, homeowner, and pet insurance.
May be eligible for bonus, equity, and compensation deferral.