Business Strategy & Transformation Leader

Company Description

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

Job Description

This Business Strategy & Transformation Leader will help strengthen ServiceNow's Technology & Services organization by driving innovation, advancing data-driven practices and ensuring alignment with cross-functional verticals. This role will focus on implementing solutions to enhance decision-making, measurement and focus which support ServiceNow's growth objectives & drive efficiency across the Technology & Services organization.  

This role will be instrumental in:  

• Helping identify key trends and opportunities and operationalize these with our vertical partner organizations  
• Driving AI adoption and other solutions to enhance processes and deliver results.  
• Harnessing data-driven insights to accelerate growth opportunities.  
• Ensuring the success and impact of AI and other initiatives through analysis and ongoing refinement.  

As the leader of ServiceNow Technology & Services advanced transformation function, they will drive innovation by championing data-driven strategies and fostering a culture of curiosity and continuous improvement.  

What you get to do in this role:

• Advanced Insights: Lead initiatives to analyze trends, customer behavior, TSE patterns and market dynamics, transforming data into actionable insights to guide our strategy.    
• Strategic Leadership: Define and implement a transformation and strategy portfolio that aligns with ServiceNow's objectives, driving measurable business impact.    Align objectives with stakeholder verticals to ensure value realization.
• AI Adoption: Lead the adoption of AI tools and predictive analytics frameworks to improve forecast accuracy, optimize resource allocation, and uncover growth opportunities.    
• Team Development: Build and mentor our team of Business Product Managers, Program Managers, Analysts, and other professionals, fostering a culture of collaboration and innovation.    
• Data Integrity: Ensure the highest data integrity, security, and compliance standards while enhancing the organization’s data accessibility.    
• Innovation Leadership: Stay ahead of emerging technologies, industry trends, and best practices in AI, analytics, program management, process design and beyond. Continuously drive innovation and improvement to elevate Technology & Services capabilities across the organization.    

Qualifications

To be successful in this role you have:

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry. 
• Proven ability to design and implement solutions that drive organizational success, strategic outcomes, combined with a strong ability to develop structured approaches to solve complex, unstructured problems.   
• Demonstrated track record of leading or influencing high-performance teams, driving organizational change, and influencing stakeholders at all levels.  
• Excellent communication skills, with the ability to translate complex data insights and technology transformation into actionable business strategies.  

Experience should include:  

• Expertise in statistical methods, predictive modeling, and data mining techniques to extract meaningful insights from large datasets.  
• Deep understanding of the opportunities and constraints of different models, adept at participating in the selection of the right machine learning models, building pipelines for data ingestion and processing, and designing solutions that can learn, adapt, and improve over time. Understanding the broad landscape of AI/ML tools, platforms, and APIs.  
• Deep understanding of enterprise data strategies, data architecture, and complex enterprise environments with system and data interdependencies. Understands enterprise data architecture with an ability to identify constraints and opportunities in introducing new frameworks, data models, or technology while establishing data governance.  

Basic Quali