Director of BI & AI Analytics and Dashboards

Oracle Corporation; Nashville (TN); Presencial; USD 110.000 - 170.000; Jornada completa

Descripción de la vacante

Oracle Nashville seeks a hands-on technical leader to build dashboards, reports, and AI-enabled analytics that help senior leadership understand performance, identify risks, and make informed decisions. You will turn trusted data into reliable reporting products and integrate OPC, Unifier, and APEX data sources.

You will personally write queries, develop reporting models, deploy solutions to production, establish standards, and lead cross-functional delivery with minimal supervision.

Formación

• Bachelor's degree in a relevant field.
• Proven experience in building dashboards and reports for executives.
• Strong data governance and data quality awareness.
• Experience with SQL, Python, and data visualization tools.

Responsabilidades

• Design, build, and deploy executive and operational dashboards with consistent views of schedules, milestones, delivery progress, dependencies, and risks.
• Translate business questions into metrics, data requirements, reporting logic, and visualizations with filters and drill-downs.
• Develop reusable datasets, SQL queries, and reporting models supporting multiple dashboards.
• Own reporting solutions through requirements, development, testing, deployment, adoption, and maintenance.
• Connect OPC, Unifier, and APEX data through APIs, views, or extracts, coordinating with owners.

Conocimientos

Data analysis

Technical leadership

Communication

Cross-functional collaboration

Educación

Bachelor's degree in a related field

Herramientas

SQL

Python

Oracle OPC

Oracle Unifier

Oracle APEX

APIs

Descripción del empleo

We are seeking a hands-on technical leader to build and deploy the dashboards, reports, and AI-enabled analytics that help senior leadership understand operational performance,identify risks, and make informed decisions.

We have an established database foundation supported by data entry and governance processes. This role will build on that foundation by turning trusted data into reliable reporting products that people use in their daily work. The position will integrate information from Oracle Primavera Cloud (OPC), our scheduling platform, Oracle Primavera Unifier, and Oracle APEX applications and their underlying data sources.

The successful candidate will personally write queries, develop reporting models, build dashboards, connect systems, and deploy solutions into production. They will alsoestablish reporting priorities and technical standards, working closely with business leaders, system owners, and technical teams. The role carries substantial technical ownership and canoperate as a senior individual contributor leading cross-functional delivery.

Strong technical execution must be paired with analytical judgment and clear communication. This person should be able to investigate a discrepancy in the underlying data, explain its business significance, and deliveran accurate, concise view for executives.

Key Responsibilities

Dashboard and Reporting Development

• Design, build, and deploy executive and operational dashboards thatprovide 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.

Oracle Systems and Data Integration

• Connect OPC, Unifier, and APEX-related data through supported APIs, database views, approved extracts, or existing integration pipelines, working with system owners todetermine theappropriate approach.

• Reconcile project identifiers, reporting periods, status definitions, and data granularity acrosssystems so combined reportsremainaccurate and meaningful.

• Build or extend automated data transformations and refresh workflows; investigate failed loads, stale data, and integration issues with theappropriate technical teams.

AI Models and Analytical Automation

• Apply AI models, including large language models whereappropriate, to practical reporting needs such as summarizing operational updates, explaining variances, and helping users explore approved data.

• Use Python, model APIs, and otherappropriate tools to prototype, evaluate, and deploy repeatable analytical workflows

• Ground AI-generated insights in verifiable source data, test output quality against representative examples, andestablish 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 effectively while independently reviewing and testing generated code, queries, calculations, and conclusions.

Reporting Reliability and Data Integrity

• Build on existing governance processes tomaintain 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.

• Implementappropriate access controls, version control, release documentation, andmonitoring so reporting productsremain secure and supportable.

• Optimize query and dashboard performance, resolve defects, and work with data owners to address recurring quality issues at their source.

Executive Partnership and Technical Leadership

• Work with executives and operational leaders toidentify the decisions reporting must support and prioritize a practical delivery roadmap.

• Present the few insights, risks, and actions that matter most, 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.