Senior Manager, Strategic Insights & Data Analytics

ServiceNow•San Diego, CA

1h•Remote

About The Position

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.

Requirements

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
Bachelor's degree in Engineering, Computer Science, Mathematics, Statistics, or related technical field required
Advanced Excel/financial modeling; experience with CRM platforms (Salesforce, ServiceNow) and analytics integrations
Expert in statistical modeling, regression analysis, predictive analytics, forecasting, and experimental design
Mastery of PowerBI, Tableau, or similar BI tools; ability to create executive-level dashboards and compelling data stories
Familiarity with machine learning techniques, LLMs, and AI-powered analytics tools
Deep understanding of business metrics, financial modelling, and revenue operations
Proven ability to translate technical analysis into strategic business recommendations
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

Nice To Haves

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)
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)
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

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