O

Oracle

Builds databases, business apps and cloud services

Senior Director of Business Intelligence and AI Analytics

Business IntelligenceUpdated on Nov 11
Full-timeNashville, TN, USA

About the Job

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.

Responsibilities

  • Design, build, and deploy executive and operational dashboards that provide consistent views of schedules, milestones, delivery progress, dependencies, and emerging risks.
  • Translate business questions into defined metrics, data requirements, reporting logic, and intuitive visualizations with useful filters and drill-down capabilities.
  • Develop reusable datasets, SQL queries, and reporting models that support multiple dashboards and reduce manual report preparation.
  • Own reporting solutions through requirements, development, testing, deployment, user adoption, and ongoing maintenance.
  • Connect Oracle Primavera Cloud, Unifier, and APEX-related data through supported APIs, database views, approved extracts, or existing integration pipelines, working with system owners to determine the appropriate approach.
  • Reconcile project identifiers, reporting periods, status definitions, and data granularity across systems so combined reports remain accurate and meaningful.
  • Build or extend automated data transformations and refresh workflows; investigate failed loads, stale data, and integration issues with the appropriate technical teams.
  • Apply AI models, including large language models where appropriate, to practical reporting needs 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 against representative examples, and establish human review where needed.
  • Assess model accuracy, reliability, cost, and business usefulness before expanding a solution; protect confidential information through approved tools and access controls.
  • Use AI-assisted development while independently reviewing and testing generated code, queries, calculations, and conclusions.
  • Build on existing governance processes to maintain documented metric definitions, calculation rules, source mappings, ownership, and data lineage.
  • Validate dashboard results against source systems and approved business definitions before release; make refresh timing and data limitations visible to users.
  • Implement appropriate access controls, version control, release documentation, and monitoring so reporting products remain secure and supportable.
  • Optimize query and dashboard performance, resolve defects, and work with data owners to address recurring quality issues at their source.
  • Work with executives and operational leaders to identify the decisions reporting must support and prioritize a practical delivery roadmap.
  • Present the most important insights, risks, and actions with enough 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 prioritized 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.
  • Leave reporting solutions documented, maintainable, and supported by clear ownership and user training.

Desired Qualifications

  • 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.

About the Company

Oracle

Builds databases, business apps and cloud services

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, TX
Founded
1977

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