Vice President, Operations - Data & Analytics

The Vice President, Operations
- Data & Analytics will act as a strategic partner to our Head of Data & Analytics.

This is a high impact opportunity for a highly ambitious individual to use this to accelerate their career in executive leadership. You will be operating at the highest levels in the organization - experiencing a broad spectrum of strategic initiatives and how to drive large-scale transformation.

Our Data & Analytics team is responsible for enterprise data strategy and engineering, analytics, data science, data governance, responsible AI, and the platforms that enable the business to make better, faster, data-driven decisions. This team sits at the center of how we deliver a superior and more integrated experience to both our customers and employees.

The Vice President, Operations
- Data & Analytics will assume day-to-day responsibility for projects and initiatives as well as driving business priorities and organizational effectiveness for the Data & Analytics Leadership team. The successful candidate will be adept at synthesizing key priorities, identifying and resolving issues that serve as barriers, and communicating across the organization to ensure alignment.

The role is based in our Zug offices, Switzerland.

As our Vice President, Operations
- Data & Analytics
, you will:

• Lead the D&A Leadership team to plan and prioritize strategic actions related to business and enterprise wide needs.
• Interface with Customers and internal stakeholders to ensure voice of customer is included in strategic priorities.
• Develop an operating rhythm across Data & Analytics. Ensure all departmental priorities are executed on time and on budget. Provide PMO leadership on key initiatives as required.
• Partner with the business units to implement the required infrastructure to optimize data, analytics, and AI opportunities across the Enterprise.
• Research, review, analyze and synthesize information, to present alternatives and relevant implications to enable informed decision making; act as the sounding board for new ideas and initiatives. Responsible for identifying trends both internally and externally that the group can incorporate.
• Engagement. Work with leadership team and comms support to identify plan/strategy.
• Build a broad and robust network and lasting partnerships, connecting with senior leadership, internal/external stakeholders and colleagues.
• Lead and author strategic documents synthesizing input from strategy leadership and other Operating Committee Executives.
• Use metrics to assess overall success of Data & Analytics. Use data and AI to work with leaders to identify process, talent, and technology gaps.

To be our Vice President, Operations
- Data & Analytics
, you must:

• Be a results driven starter-finisher with strong analytical and mathematical capability.
• Have superior written skills to deliver board materials, research papers and content as needed at pace.
• Have extensive and proven experience in a business or executive management role, with a special focus on executive-level advising.
• Have a track record of organizing and directing multiple teams and departments in driving strategic business initiatives.
• Have experience working across a large, global, matrixed organization.
• Have good organizational skills that reflect ability to perform and prioritize multiple tasks seamlessly with high attention to detail.
• Be able to provide insight through understanding of business needs, subject matter expertise and knowledge of external best practices; has a passion and curiosity for learning.
• Be a thoughtful and knowledgeable practitioner who takes initiative looking for opportunities to advance a customer-focused, data-driven mindset across the organization.
• Have the character and integrity that aligns with an inclusive culture.
• Have a good external network of connections, constantly scanning the external world for relevant insights/activity that could benefit the organization.
• Have familiarity with data and analytics concepts, tools, and ways of working (e.g. data governance, data platforms, analytics/BI, data science, Responsible AI) sufficient to operate credibly with technical leaders.