Head of Global Data & Analytics

Job title - Head of Global Data & Analytics

Job purpose

The Head of Global Data & Analytics is responsible for the definition and alignment of the digital, data & analytics strategy on a global Sulzer group level. The role oversees and owns responsibility for the execution of the associated roadmaps in close collaboration with key stakeholders of all divisions, business units and group functions. In this role he/she is a global champion for implementing capabilities for data-driven decision support, based on well-managed and relevant data.

The ideal candidate is someone with the desire and influence to:

• Lead data-driven transformation

• Raise the organization’s levels of data literacy

• Get data-driven capabilities prominently onto the strategic business agenda

Main accountabilities and tasks

1. Define data and analytics vision, strategy and associated practices. Lead the creation (and assure the ongoing relevance) of the organization’s data and analytics strategy.

2. Institute an operating model for data, analytics that is consistent with the capabilities and competencies required to execute the strategy. The operating model includes the ecosystem, architectures and delivery model.

3. Creates and oversees a centralized data management/data engineering service for sharing certified data products to ensure quality, traceability, timeliness, usability and cost-effectiveness.

4. Oversees delivery models, methods and practices for creation of data, analytics and to ensure consistent application and use of data and analytics solutions and services, including data science. 5. Evolves technology capabilities for the Data & Analytics (D&A) platform, in collaboration with the chief information officer (CIO) to align D&A initiatives with IT infrastructure and policies, and drive technology innovation across the organization.

6. Understands regulatory requirements, relevant data protection laws and regulations, such as GDPR, EU AI Act and CCPA, and industry-specific standards. Ensures the organization's data practices are compliant, in collaboration with legal and compliance department.

7. Owns the development of a data-driven culture, related competencies, behaviors, as well as data and AI literacy across the enterprise. Leads these transformation efforts by developing D&A talent and maturing the D&A capability of the organization.

8. Manage main vendors and service providers for implementation projects.

Desired experience and qualifications

Work experience: >9 years

Expertise (e.g. professional, technical):

● Broad understanding of the full range of strategic data and analytics capabilities, and the ability to communicate these concepts, methods and techniques in ways easily understood by other stakeholders.

● Exceptional interpersonal and leadership skills with a focus on stakeholder engagement and communication. Significant experience and track record within internationally operating industrial manufacturing companies.

● Excellent understanding of — and ability to drive excellence in — the business process and associated data:

o Business and financial acumen: For example, understanding business concepts, practices and business domain language to engage in problem-solving sessions and discuss business issues in stakeholder language.

o Business process transformation: For example, the ability to understand how D&A can help redesign the way work is done and track how impactful the changes are.

o Business data: For example, the structure, ownership and use within an organization (call detail records in telco, points of sale in retail, etc.).

● Solid understanding of manufacturing industry, including aftersales services and B2B customer engagement, preferably in the environment of rotating machinery

● Strong record in managing complex programs in the domain of Master Data Management

● Relevant management experience in international corporates and/or advisory

Education: Level: Bachelor Subject: Business Administration; Science Technology; Engineering and Mathematics (STEM); Computer Science; Data Science; Information Systems or related field; or equivalent work experience. Academic qualifications/professional training and experience in legal and regulatory areas are also desirable.

Certifications: Project Management and/or Service Management (i.e. PMI, Scrum, SAFe, ITIL), Enterprise Architecture (TOGAF) considered a strong additional asset

Languages: English, German considered strong additional asset

Soft skills: ● Ability and experience to define a group wide digital, data & analytics strategy, translate into actionable roadmaps and oversee and guide implementation

● Experience to communicate & collaborate with divisional & BU top-management and C-suite as well as partner with stakeholders across levels, geographies and business domains

● Solid understanding and hands-on experience of digital, data management and analytics architecture/tech and methodologies

● Ability to manage and fulfill cross-divisional demands

● Ability to manage and develop globally dispersed and diverse teams

● Excellent communication, collaboration in matrix organizations, business partnering, workshop facilitation and presentation skills