Lead the execution and coordination of Suffolk’s enterprise Oracle transformation portfolio, driving Oracle HCM transformation and supporting future financial and accounting transformation initiatives.
Compensation
Base Salary for this position is just one component of Suffolk’s total rewards package for employees. Actual salaries may be based on several factors including, but not limited to, a candidate's skill set, experience, education and other qualifications.
Responsibilities
Assume day-to-day program leadership for Suffolk’s Oracle HCM transformation and drive the program through implementation, go-live, stabilization, and transition to operations
Own the integrated program plan, milestones, dependencies, risks, issues, decisions, budget visibility, and executive reporting
Coordinate HR, IT, business stakeholders, and the System Integrator to maintain alignment, accountability, and timely delivery
Drive resolution of program issues and ensure critical decisions are clearly framed and escalated to the appropriate governance body
Coordinate HCM workstreams including Core HR, Payroll, Talent, Benefits, integrations, data, security, testing, change management, deployment, and operational readiness
Requirements
Bachelor’s degree in Business, Information Technology, Engineering, or a related discipline
Lead the operating model for enterprise AI adoption, including oversight of AI platform evaluation, technical fit, integrations, enterprise knowledge use cases, data architecture, AI security, vendor capabilities, and responsible deployment.
Compensation
Base Salary: USD $130,000.00 to $150,000.00; depending on experience and skills; Discretionary annual bonus: Up to 10% of annual salary
Responsibilities
Own and continuously improve the enterprise AI operating model, including intake workflows, review criteria, documentation standards, technical assessment practices, usage guidance, and responsible adoption controls.
Define decision points, ownership maps, escalation paths, and use case review workflows that evaluate technical feasibility, security, scalability, operational impact, and enterprise risk considerations.
Coordinate the AI review body by preparing agendas, materials, decision records, follow-up actions, and status reporting.
Maintain the enterprise AI portfolio roadmap, including approved platforms, prioritized use cases, vendors, owners, risks, controls, and implementation milestones.
Monitor AI program trends, industry practices, client expectations, and emerging business needs, and coordinate with Legal on regulatory, contractual, audit, due diligence, or policy developments.
Requirements
Bachelor’s degree in business, technology, information systems, data governance, computer science, or a related field
