Director - Project Controls Systems, Data Governance, Analytics, Reporting & AI Enablement

Job Description

The Director of Project Controls Systems, Data Governance, Analytics, Reporting & AI Enablement is accountable for the governance, administration, and business enablement of the company's global Project Controls systems landscape, with primary responsibility for Primavera Cloud and Oracle Unifier. This role also leads the responsible adoption of AI including Large Language Models (LLMs) and Agentic AI as applied to cost, schedule and project performance to enhance reporting, controls, data quality, and decision support across the capital delivery portfolio.

This position serves as the critical bridge between business requirements, system configuration, and advanced analytics-ensuring Enterprise-grad systems and AI capabilities are implemented rapidly, governed rigorously, and produce high-quality, trusted outputs for executive decision-making. While not a technical engineering role, this position owns the business use cases, governance, controls, and value realization of AI applied to project controls data.

Key Responsibilities

Systems Ownership & Governance

• Own the end-to-end governance of Project Controls systems, including Primavera Cloud and Oracle Unifier.

• Configuration of systems to enforce global standards for schedule, cost, change, forecasting, reporting, and controls.

• Act as the business system owner, accountable for system configuration, usage standards, and lifecycle management.

• Establish decision rights, approval hierarchies, and change-control processes for both system and AI-related enhancements.

• Protect system integrity by prioritizing requirements and explicitly declining low-value or high-risk requests.

Business Requirements, MVP Delivery & AI Integration

• Lead global requirements gathering, analysis, and prioritization for Project Controls systems and AI-enabled capabilities.

• Drive a minimum viable product (MVP) approach for both system functionality and AI use cases.

• Translate business intent into clear, testable functional requirements for technical delivery teams.

• Ensure AI capabilities (e.g., LLM-driven insights, automated narrative reporting, anomaly detection, controls validation) are aligned to business needs and governance standards.

• Operate effectively in a fast-paced implementation environment requiring extended work hours during initial system and rollout phases.

AI, LLM & Agentic AI Enablement (Business-Owned, non-developer work)

• Define and govern AI use cases across Project Controls, including:

• Automated schedule and cost variance narratives

• Data quality validation and exception identification

• Controls assurance and compliance monitoring

• Executive reporting and decision support

• Provide business leadership for the application of Large Language Models (LLMs) to project controls data, ensuring accuracy, explainability, and auditability.

• Oversee the controlled deployment of Agentic AI solutions that execute predefined workflows (e.g., issue triage, reporting preparation, risk flagging) under strict governance.

• Partner with AI, data, and security teams to ensure AI solutions meet enterprise standards for data privacy, security, and responsible use.

• Ensure AI outputs are trusted, traceable, and decision-ready, with human oversight embedded in all critical workflows.

Data Quality, Reporting & Controls Accountability

• Own the quality, integrity, and consistency of schedule, cost, and forecast data across systems and AI-enabled outputs.

• Ensure CAPEX/OPEX cost reporting is accurate, auditable, and aligned to executive expectations.

• Oversee global reporting for the data-center fleet, specific to data-center fit-out programs.

• Establish validation rules, data controls, and exception management processes across both traditional reporting and AI-generated insights.

Team Leadership & Organizational Build

• Build and lead a global organization of business analysts and system administrators from the ground up.

• Scale and manage teams of up to 30+ professionals across regions.

• Develop capability in AI-assisted analysis, requirements definition, and controls governance within the team.

• Set performance expectations, career paths, and delivery standards aligned to enterprise objectives.

Stakeholder Management

• Serve as a trusted partner to senior leadership by delivering clarity, discipline, and reliable insight.

• Manage competing global priorities while maintaining governance and data integrity.

• Communicate complex system and AI concepts clearly to non-technical stakeholders.

• Act as a strong gatekeeper against over-customization, unmanaged AI experimentation, or misaligned expectations.

Responsibilities

Required Qualifications

• 12+ years of experience in project controls, capital delivery, or enterprise systems within large-scale infrastructure or construction programs.

• Hands-on experience administering and governing Oracle ERP, Oracle Primavera Cloud, Oracle Unifier, or comparable project controls platforms.

• Demonstrated experience leading or governing AI-enabled business solutions, including exposure to:

• Large Language Models (LLMs) applied to enterprise or operational data

• Agentic AI concepts involving autonomous or semi-autonomous workflows

• Proven leadership managing global teams of 20-30+ people.

• Experience supporting multi-billion-dollar CAPEX programs, preferably in data centers or mission-critical infrastructure.

• Strong background in business requirements, system governance, and data controls.

• Exceptional attention to detail and strong judgment around risk, quality, and control.

Key Attributes for Success

• Strong governance mindset with the confidence to say no when required.

• Business-first AI thinker who prioritizes value, trust, and control over novelty.

• Highly structured, detail-oriented, and outcome-focused.

• Executive presence with the ability to influence across technical and non-technical teams.

• Comfortable operating in ambiguity while building scalable, disciplined solutions.

• Exposure to AI governance frameworks or responsible-AI programs.

Preferred

• Background in hyperscale or colocation data-center fit-out delivery environments.

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 specific to the stated locations only

US: Hiring Range in USD from: $139,400 to $291,800 per annum. May be eligible for bonus, equity, and compensation deferral.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.

Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:

Medical, dental, and vision insurance, including expert medical opinion

Short term disability and long term disability

Life insurance and AD&D

Supplemental life insurance (Employee/Spouse/Child)

Health care and dependent care Flexible Spending Accounts

Pre-tax commuter and parking 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

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Career Level - M4

About Us

As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.

We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

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Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.