Capital Delivery Global Process Leader

QTS Data Centers; Suwanee (GA); On-site; USD 150,000 - 230,000; Full time

Job summary

QTS Data Centers is seeking a Global Process Owner for Capital Delivery to own end-to-end planning, governance, and controls across capital projects. You will standardize processes, define KPIs, and lead cross-functional teams to ensure predictable delivery of scope, schedule and cost.

The role requires 5+ years in process ownership or transformation, strong governance skills, and the ability to partner with data, systems, and analytics teams.

Qualifications

• Bachelor’s degree or equivalent experience.
• 7-10 yrs of experience in real estate, finance, engineering, project management, or enterprise planning within a complex, high growth environment.
• 5+ years in a process ownership, business transformation, or planning leadership role with governance, standardization, controls, and KPI management.
• Demonstrated success establishing governance, standards, controls, and KPIs in complex environments.
• Experience designing or improving end-to-end planning processes that connect demand, capacity, capital, and operational execution.
• Strong influence skills in matrixed organizations without direct authority.
• Experience partnering with data, systems, and analytics teams to define business requirements, data standards, controls, dashboards, and decision-grade reporting.
• Ability to present findings and recommendations to executive stakeholder audiences.
• Familiarity with AI tools such as Microsoft CoPilot.

Responsibilities

• Own end-to-end accountability for a specific process domain and its design, including process boundaries, decision points, controls, and escalation paths across all processes.
• Define and maintain the end-to-end global process design, scope and taxonomy (L1–L5), with standardized definitions and documentation.
• Enforce process governance with stage gates, reconciliations, approval frameworks, and exception handling.
• Manage intake, prioritization, sequencing and approval of underlying process changes, assessing enterprise impacts, risk, and control implications.
• Ensure governance aligns with enterprise initiative and process governance frameworks.
• Develop and maintain standardized artifacts (process maps, SOPs, calendars, RACIs, KPI definitions).
• Define and govern critical data elements, ownership, lineage, validation rules, and data quality thresholds.
• Sign-off on system changes that impact end-to-end process; translate standards into system requirements.
• Apply and evolve the GPO Playbook for documentation depth, governance rigor, and audit readiness.
• Define and report process KPIs focused on end-to-end cycle times and quality.
• Use analytics to identify bottlenecks, control gaps, and improvement opportunities.
• Drive prioritized process improvements and report value realization.
• Support adoption of process standards through training, communications, and readiness criteria.
• Coordinate rollout of process changes with stakeholders and change partners.
• Reinforce disciplined planning and adherence to standards.
• Scope includes enterprise-wide ownership and cross-functional interactions.
• Measure business value of improvements and link to enterprise objectives.
• Initial focus area: Capital Delivery—from initiation to turnover and governance across project lifecycle.

Skills

Process ownership

Governance

Stakeholder management

Data governance

Executive communication

Education

Bachelor’s degree or equivalent experience

PMP or PgMP certification

Lean Six Sigma Black Belt/Green Belt

Tools

Microsoft CoPilot

Job description

QTS Data Centers is seeking a Global Process Owner for Capital Delivery to own end-to-end planning, governance, and controls across capital projects. You will standardize processes, define KPIs, and lead cross-functional teams to ensure predictable delivery of scope, schedule and cost.

The role requires 5+ years in process ownership or transformation, strong governance skills, and the ability to partner with data, systems, and analytics teams.