Senior Manager, Strategic Insights & Data Analytics

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
We're seeking an exceptional Senior Manager, Strategic Insights & Data Analytics to lead data-driven decision-making and strategic insights across our organization. This role sits at the intersection of advanced analytics, business intelligence, and strategic planning-translating complex data into actionable insights that drive quarterly business reviews, executive decision-making, and multi-million dollar investments. The ideal candidate combines deep analytical expertise with strategic thinking, turning data into compelling narratives that influence C-suite strategy and operational excellence.
Key Responsibilities:
Analytics & Business Intelligence Leadership

• Lead end-to-end analytics for quarterly and annual business reviews, delivering data-backed insights that influence strategic decisions on investment allocation, GTM priorities, and resource planning

• Lead pre-buy and burndown forecasting process by engaging with Partner Sales, GPC, Leadership and sales operations teams to ensure forecast accuracy.

• Design and build sophisticated dashboards and reporting infrastructure using PowerBI, Tableau, and SQL to track business performance, partner ecosystems, and revenue metrics across B2B2C lifecycles

• Develop predictive models and advanced analytics frameworks to identify growth opportunities, optimize sales pipelines, and forecast business outcomes

• Perform strategic analysis of structured and unstructured data across multiple sources, using statistical methods to validate insights and guide executive decision-making

• Create comprehensive performance scorecards measuring KPIs across partner delivery value, CSAT, GRR/NRR, product adoption, and operational efficiency

Strategic Planning & Executive Partnership

• Serve as analytics thought partner to C-suite and senior leadership, translating data insights into executive-ready presentations and strategic recommendations

• Lead annual business planning including ACV forecasting, quota planning, headcount management, and resource optimization using data-driven methodologies

• Develop business intelligence frameworks that measure the impact of strategic initiatives

• Build capability and metrics frameworks across customer and partner lifecycles, establishing consistent measurement standards organization-wide

• Identify and quantify market opportunities through data analysis, competitive intelligence, and trend identification

Data Science & AI Innovation

• Apply AI and machine learning techniques (LLMs, predictive models, automation) to solve complex business problems and enhance operational efficiency

• Identify opportunities to leverage emerging AI tools (Gemini, GPT, generative AI) for process automation, insight generation, and decision support

• Build data pipelines and infrastructure to organize, cleanse, and standardize data for analytics and reporting

• Champion data-driven culture by democratizing insights and training teams on analytics best practices

Cross-Functional Program Management & Stakeholder Engagement

• Drive multiple high-priority analytical initiatives simultaneously, managing projects from problem definition through insight delivery and action implementation

• Partner with Partner Sales, GPC, Leadership and sales operations teams to align analytics roadmap with business priorities

• Facilitate data-informed decision-making across senior stakeholders, navigating complex problem sets with clarity and business acumen

• Lead analytics enablement programs that expand partner capabilities and drive upsell initiatives backed by data insights

• Own rhythm of business for analytics deliverables, ensuring timely and high-quality output that meets executive expectations

Team Leadership & Talent Development

• Manage, mentor, and develop a high-performing team of data analysts, business analysts, and analytics specialists

• Build team capabilities in statistical modeling, data visualization, business intelligence, and strategic thinking

• Foster culture of analytical excellence, curiosity, and continuous learning within the team

• Coach team members on communication skills, helping translate technical insights into business-friendly narratives

Qualifications

• 8-12 years of progressive experience in data analytics, management consulting, or business intelligence

• Proven track record as analytics partner to senior executives, delivering insights that drove measurable business impact

• Experience managing analytics for organizations with multi-million dollar revenue or supporting global business units

• Direct experience building and managing analytics teams

• History of partnering with C-suite and presenting data-driven recommendations to board-level stakeholders

Education

• Bachelor's degree in Engineering, Computer Science, Mathematics, Statistics, or related technical field required

• MBA in quantitative field (Statistics, Data Science, Economics, Computer Science, Engineering, Mathematics, Analytics) strongly preferred

• Certifications in data science, machine learning, or business analytics (preferred)

Technical Skills

• Business Tools: Advanced Excel/financial modeling; experience with CRM platforms (Salesforce, ServiceNow) and analytics integrations

• Advanced Analytics: Expert in statistical modeling, regression analysis, predictive analytics, forecasting, and experimental design

• Data Visualization: Mastery of PowerBI, Tableau, or similar BI tools; ability to create executive-level dashboards and compelling data stories

• AI/ML Knowledge: Familiarity with machine learning techniques, LLMs, and AI-powered analytics tools

Business & Strategic Capabilities

• Deep understanding of business metrics, financial modelling, and revenue operations

• Proven ability to translate technical analysis into strategic business recommendations

• Experience with enterprise software partner ecosystems, GTM analytics, B2B2C business models, or SaaS metrics (preferred)

• Knowledge of enterprise software, technology industry dynamics, or ecommerce analytics (plus)

Leadership & Communication

• Exceptional executive presence with ability to influence senior stakeholders through data storytelling

• Outstanding communication skills-ability to explain complex analytical concepts to non-technical audiences

• Strategic mindset with strong business acumen and pragmatic approach to problem-solving

• Entrepreneurial mentality with comfort operating in ambiguous, fast-paced environments

• Demonstrated ability to build trusted relationships across functions and drive consensus through data

Preferred Qualifications

• Experience at high-growth technology companies pivoted on SaaS model

• Background in management consulting from top firms (Deloitte, McKinsey, BCG, Bain, Accenture)

• Knowledge of data governance, data quality frameworks, and analytics best practices

• Familiarity with Agile analytics delivery methodologies

For positions in this location, we offer a base pay of $139,900 - $244,800, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.
Additional Information
Work Personas
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
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