Global Delivery Leader (Transformation & Operations)

Job Title: Global Delivery Leader (Transformation & Operations)

Location: Anywhere in Europe

Working Model: Hybrid (flexible, depending on candidate location)

Reports to: Executive Committee (ExCo)

Department: Global Delivery

Seniority Level: Executive Leadership / Senior Leadership

Travel Requirements: Based on the business need (occasionally)

GLOBAL DELIVERY LEADER

(Transformation & Operations)

WHO IS SA.GLOBAL

sa.global, a global Microsoft partner, specializes in delivering AI-powered, cloud-based solutions tailored for service-centric organizations such as architecture and engineering, legal, consulting, software services, accounting, and homebuilding. We help over 800,000 Microsoft Dynamics users across 80 countries to deliver operational excellence and financial performance for their organizations. An 13-time winner of the coveted Microsoft Dynamics Partner of the Year Award, sa.global is also a part of Microsoft’s elite Inner Circle. Established in 1990, we are now a 700+ member strong global organization with a presence in 22+ countries.

For more information about sa.global, please click www.saglobal.com.

ROLE PURPOSE

The Global Delivery Leader will play a key role in transforming sa.global’s delivery function from a traditional project-based execution model into a scalable, AI-enabled delivery ecosystem that supports modern, outcome-driven services and long-term business growth.

This role owns the design, implementation, and ongoing performance of the global delivery operating model, working closely with the CEO and senior leadership team to ensure alignment with the company’s strategic direction. While the CEO retains ultimate accountability for organization-wide operating model decisions, the Global Delivery Leader drives the transformation agenda, brings the model to life, and ensures successful adoption across the business.

The role will be instrumental in shaping how sa.global delivers value to clients by building a delivery organization that is agile, efficient, data-driven, and ready for the future. The Global Delivery Leader will ensure delivery capabilities are aligned with sa.global’s evolution toward AI-led transformation, managed services, and recurring revenue models.

WHO THRIVES IN THIS ROLE

You are a builder who has done this before — taken a delivery function that was designed for a different era and rewired it for scale, speed, and modern service models. You are energized by complexity and unfazed by resistance, because you know that transformation only works when people adopt it, not just when the slides are approved.

You think of systems, not projects. You see the connection between delivery methodology, margin, workforce planning, and client outcomes — and you can hold all those threads without losing sight of what matters most: that delivery is the place where strategy either becomes real or falls apart.

You are comfortable working cross-functionally with commercial, product, and finance leaders, and you know how to drive accountability across regions without relying on hierarchy alone. You are genuinely curious about how AI changes delivery — not as a buzzword, but as a practical lever for doing better work, faster, with fewer manual steps.

If you want a role where the operating model is settled and the playbook is written, this is not it. If you want to define both — and see them adopted across a global business in the middle of a real transformation — this is exactly the right place.

KEY ACCOUNTABILITIES

Own delivery transformation: Define and drive the shift from traditional project-based delivery to AI-accelerated, automated, and repeatable service delivery. Ensure alignment with the broader AI transformation programme and the transition toward higher-value offerings.

Own the global delivery operating model: Design and implement a standardised delivery methodology with clear governance, consistent execution across regions, and measurable adoption. Drive simplification and remove structural barriers to scalability.

Own delivery technology, tools, and data: Modernize the delivery technology landscape by integrating automation and AI capabilities. Establish data-driven visibility on project performance, risks, margins, and delivery outcomes.

Lead service innovation and new offering readiness: Build delivery capabilities to support new services including AI transformation engagements, managed services, and outcome-based models. Formally sign off delivery structural readiness as the GDL’s gate in the readiness-to-sell process: commercial readiness is confirmed by the Vertical Leader; delivery structural readiness is confirmed by the GDL; the Head of Revenue Operations then issues the readiness-to-sell approval once both gates are passed. Where delivery structural readiness cannot be confirmed, escalate to the CEO before any offering enters the market.

Own capacity and workforce model: Define and optimize the global delivery workforce model, including utilization of service centres and cross-regional resource allocation, in partnership with the CPO who holds Accountable authority for people strategy and workforce planning. The GDL owns delivery capacity as an operational input to the business plan; workforce design, compensation structures, and talent strategy decisions are made in partnership with the CPO. Ensure the right delivery capabilities and capacity are in place to support growth.

Own delivery performance and economics: Drive delivery margin through utilization management, cost-to-serve optimization, and operational efficiency. Delivery margin is distinct from pricing strategy, which is owned by the Vertical Leader within the group pricing framework governed by the Head of Revenue Operations; the GDL influences margin through the cost side of delivery economics, not through pricing decisions. Improve delivery predictability and ensure strong linkage between delivery execution and financial results, reporting delivery economics to the CFO.

Lead PMO and governance: Establish consistent project lifecycle, reporting, and forecasting standards across all regions. Ensure strong governance, risk management, and adoption of best practices.

Drive AI-enabled delivery practices and Client Zero adoption: Ensure delivery teams are first adopters of sa.global’s own agentic workflows, proving value internally before taking them to clients. Redesign delivery processes to be AI-ready and embed human–AI collaboration as a standard way of working.

KEY OUTCOMES — WHAT SUCCESS LOOKS LIKE

Delivery operates through a single, globally adopted operating model with standardized methodologies, governance, and reporting in use across all regions and entities.

Delivery margins and utilization are improving measurably, with clear visibility into project economics, risks, and outcomes through data-driven reporting.

New offerings — including AI transformation and managed services — ability to execute globally and consistently, with delivery readiness validated before GTM launch and capacity confirmed with the GTM Leader and CEO.

Delivery teams are active Client Zero adopters of sa.global’s agentic workflows, with AI embedded in delivery processes, measurably reducing manual effort and accelerating project timelines — and generating credible internal reference cases for client conversations.

The delivery function is recognized internally as a competitive advantage, not a bottleneck — with consistent quality, reliable capacity planning, and strong cross-functional alignment with GTM, Product, and Finance.

CORE SKILLS FROM IDEAL CANDIDATE

Skills Level Definition

Delivery transformation - Ability to redesign delivery models from project-based execution to scalable, automated, and repeatable service delivery at a global level.

Operating model design - Ability to define governance, methodology standards, and execution frameworks that drive consistency and adoption across regions.

Delivery economics - Deep understanding of margin management, utilizations, pricing interplay, and the financial mechanics of services business.

Agentic AI workflows - Understanding how sequences of AI-driven tasks can be orchestrated to automate and augment work end-to-end; ability to drive adoption of agentic workflows across delivery teams and processes.

AI-ready process design - Applying structured improvement thinking to redesign delivery processes so they are lean, well-documented, and ready for AI augmentation or automation.

Capacity and workforce planning - Ability to model and optimize global resource allocation including service centres, cross-regional deployment, and capability pipelines.

PMO and governance - Ability to establish and enforce project lifecycle standards, risk frameworks, and reporting practices across a distributed organization.

AI Transformation / Change management - Planning and leading the organizational change required to shift people, culture, and ways of working as AI is embedded across delivery.

Risk management - Identifying, assessing, and mitigating risks specific to AI-augmented projects — including model risk, data risk, and change management risk.

Cross-functional leadership - Ability to drive outcomes through GTM, Product, Finance, and HR functions without full direct-line authority.

WHAT WE OFFER

• A strategic leadership role with global impact – the opportunity to shape and transform sa.global’s delivery operating model and play a key role in our AI-enabled transformation journey.

• Executive-level exposure – close collaboration with the Executive Committee and senior leaders across the organisation.

• Flexible hybrid working model – work from anywhere in Europe while staying connected with global teams.

• Competitive executive compensation package – attractive base salary, performance-based bonus, and benefits aligned with the seniority of the role.

• Opportunity to drive meaningful change – build new ways of working, introduce AI-enabled delivery practices, and create a scalable model for future growth.

• Global and diverse environment – collaborate with teams across 25 countries and work in a truly international organisation.

• Professional growth and continuous learning – access to opportunities to expand expertise in AI transformation, operational excellence, and global leadership.

• A culture of ownership and innovation – the freedom to challenge existing models, experiment, and create lasting business impact.

APPLICATION, DATA PRIVACY AND COMPENSATION

At sa.global, we value the trust candidates place in us throughout the recruitment process. All information shared as part of your application will be treated with strict confidentiality and handled in accordance with applicable data protection regulations, including GDPR requirements.

Candidate information will only be used for the purpose of assessing suitability for this position and managing the recruitment process. Access to candidate data will be limited to the relevant stakeholders involved in the selection process.

sa.global is committed to fair and transparent compensation practices. The compensation package for this position is determined based on objective criteria, including the scope and complexity of the role, required experience, skills, location, and relevant market benchmarks. The final compensation package will be discussed during the recruitment process and will reflect the candidate’s experience, expertise, and applicable employment market conditions.

Please note that this recruitment process is managed directly by sa.global. For this position, we are not working with external recruitment agencies or third-party suppliers. Unsolicited agency submissions will not be considered, and no agency fees will be applicable.

sa.global is committed to building an inclusive and diverse workplace. We welcome applications from talented individuals with different backgrounds, experiences, and perspectives.

Good luck!