Manager - BPI

As a Manager you will be reporting to Business Process Improvement Leader (Global), you will assume responsibility to drive business transformation and digitization capability. You will act as a change agent, drive strategic business transformation initiatives aimed to achieve optimal performance. You will collaborate with business leadership to create a process transformation strategy, develop recommendations, and support the execution of improvement initiatives through re-engineering, automation, and digitization initiatives.

The role will provide a unique opportunity to participate as part of internal consulting group that helps our business functions transform their businesses through a blend of process re-engineering, process automation and KPI management. By focusing on customer, quality, and innovation you will have a direct impact on improving the profitability of Stryker.

Who we want:

• Effective communicators: People who regularly share relevant status updates and effectively articulate issues and recommendations to stakeholders and senior management.
• Goal-oriented orchestrators. People who can effectively coordinate and focus the work of skilled employees toward an important goal, prioritizing to the right activities that lead to success.
• Accuracy-oriented team leaders. Providing direct oversight of processes and results, managers who ensure accurate and timely completion of projections, forecasts or reporting.
• Metrics-oriented managers. People who are always tracking important business metrics to ensure projects meet expectations and budget.
• Collaborative partners: People who build and leverage cross-functional relationships to bring together ideas, information, use cases, and industry analyses to develop best practices.

What you will do:

• Lead cross functional projects using advanced data modelling and analytics techniques to translate complex data into useable insight
• Build, develop, deploy and maintain data models, reporting systems, dashboards and performance metrics
• Work with Business Process Experts and Divisional and Functional stakeholders to understand information needs and be able to translate these into quantifiable analytics problems
• Work with Business Process Experts to deploy tools and reports into the business including documentation and user training as well as ongoing support
• Work with Data Engineers and Information Services colleagues to build sustainable data pipelines to support reporting and analytics
• Create and execute testing solutions to validate tools and reports and ensure that data quality is maintained
• Responsible for the development of wider Enterprise analytics capability through training and provision of data to support self-service analytics
• Responsible for creating a lean culture in the analytics team, automating data flows and reducing manual processes
• Implement analytics project management capabilities
• Responsible for recruiting, training and developing the analytics team
• Manage the demand pipeline and prioritizing the team workload
• Promote the culture of information driven decision making in Stryker through communication and network building
• Oversee team of Business System Analysts supporting the Enterprise Planning Tools

What you need:

• Minimum of 10+ years business experience including 3 years in a people management role within Analytics, Data Science preferably with experience in Supply Chain/Operations
• Good understanding of ERP and Planning systems
• Exposure to Network modelling is a plus
• Experience of leading global teams
• Demonstrated track record in driving operational performance via strong leadership and change management skills
• Program and project management experience, preferably with experience of Agile with Analytics projects
• Demonstrated experience networking and influencing senior leadership
• Experience of developing and deploying analytics solutions
• Experience with data visualization tools such as Power BI or Tableau
• Strong SQL  , Power Apps , Python skills 
• Experienced working with Azure or similar environment
• Preferred experience provisioning and working with Enterprise data lakes