Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

As Vice President of Go-to-Market Strategy, Analytics & Business Intelligence, you will lead data-driven decision-making for the global GTM organization. This high-impact role reports to the CFO and partners with C-suite leaders to transform performance measurement, growth forecasting, and insight-driven actions. You will spearhead an AI-powered transformation of analytics and reporting, moving from manual processes to predictive, automated, and self-service intelligence. You will build and lead a world-class team, influence executive strategy, and ensure GTM decisions are data-grounded.

Responsibilities

Serve as a strategic advisor to the CRO, CMO, CFO, and other C-suite leaders on GTM performance, market opportunities, and risk.
Act as a key voice in executive leadership forums, QBRs, and board presentations.
Build and maintain trusted relationships across Sales, Marketing, Finance, Product, RevOps, and Customer Success.
Serve as the connective tissue that aligns analytics efforts and drives a single source of truth.
Lead a company-wide AI-driven transformation of analytics and reporting infrastructure.
Define and execute a multi-year roadmap to shift from manual reporting to automated, predictive, and self-service intelligence.
Champion adoption of AI-assisted forecasting, anomaly detection, natural language querying, and generative BI tools.
Drive change management to embed data-driven decision-making at every level.
Design and own Tricentis’s GTM performance management framework, including pipeline analytics, revenue forecasting, win/loss analysis, marketing attribution, and customer health scoring.
Lead, recruit, and develop a world-class team of analysts, data scientists, and BI engineers.
Establish center-of-excellence practices including data governance and self-service enablement to scale analytics.

Requirements

10+ years of progressive analytics, business intelligence, or revenue operations experience.
At least 5 years in a VP or senior director leadership role within a global B2B SaaS or enterprise software environment.
Demonstrated success leading AI or data transformation programs at scale.
Proven track record of cross-functional executive influence—aligning C-suite and board-level stakeholders.
Exceptional change management capabilities: experience managing the human side of analytics transformation across a global, matrixed organization.
Deep technical fluency with modern BI platforms (e.g., Tableau, Looker, Power BI, Sigma), cloud data warehousing (e.g., Snowflake, BigQuery, Databricks), and AI/ML applications in a GTM analytics context.
Deep experience in GTM analytics domains including pipeline management, revenue forecasting, marketing attribution, territory design, and customer lifecycle analytics.
Ability to synthesize complex data into executive-level narratives.
Strong business acumen with ability to understand and dissect key SaaS metrics leveraging multiple quantitative and qualitative data sources.
Strategic partner mindset, not just an analytics executor.
Excellent executive communication and storytelling skills—able to translate complex data into clear, compelling narratives that drive action.
Demonstrated ability to establish credibility and influence executive-level stakeholders across a matrixed global organization.
Leads through influence and commands a seat at the Tricentis leadership table.
Strong communication and collaboration skills with the ability to operate seamlessly across all levels of the organization.
Excellent pattern recognition and predictive modeling skills.
Experience deploying AI/ML-powered forecasting and anomaly detection models in production GTM environments.
Experienced people leader with a track record of building, scaling, and retaining world-class analytics teams.
Creates cultures of curiosity, rigor, and business impact.
Experience operating in a high-growth, global enterprise software environment.
Ability to foresee organizational needs, prioritize strategically, and deliver both quick wins and long-term transformation.
Professional attitude, executive presence, and service orientation.
A collaborative leader who earns trust and brings people along through change.
10+ years of business, analytical, and technical experience, with significant tenure in VP-level or equivalent executive leadership roles including leading globally distributed teams.
BS/BA in Business/Finance, Engineering, Mathematics, Computer Science, or equivalent experience.
Advanced degree preferred.
MBA, MS in Applied Statistics, Data Science, Computer Science, or equivalent advanced analytical training strongly preferred.
Deep understanding of the full stack of modern data analytics, engineering, and AI/ML—including cloud data platforms, real-time data pipelines, BI tooling, predictive modeling, and AI-assisted analytics deployment at enterprise scale.
Candidates must not be listed on any government restricted party lists (including OFAC SDN List and U.S. Commerce Department restricted lists) and must certify that their employment would not violate any sanctions or export control regulations.
Candidates must notify us of any changes to their status during the application process or subsequent employment.
Applicants must be authorized to work in the U.S. without current or future sponsorship.

Skills

AI-driven transformation
Analytics and reporting infrastructure
Automated, predictive, and self-service intelligence
AI-assisted forecasting
Anomaly detection
Natural language querying
Generative BI tools
Change management
GTM performance management framework
Pipeline analytics
Revenue forecasting
Win/loss analysis
Marketing attribution
Customer health scoring
Data governance
Self-service enablement
Modern BI platforms (e.g., Tableau, Looker, Power BI, Sigma)
Cloud data warehousing (e.g., Snowflake, BigQuery, Databricks)
AI/ML applications in GTM analytics
GTM analytics domains
Pipeline management
Revenue forecasting
Marketing attribution
Territory design
Customer lifecycle analytics
SaaS metrics
Executive communication
Storytelling
Pattern recognition
Predictive modeling
AI/ML-powered forecasting
Anomaly detection models
Team leadership
Building and scaling analytics teams
High-growth, global enterprise software environments
Modern data analytics
Data engineering
AI/ML
Cloud data platforms
Real-time data pipelines
BI tooling
Predictive modeling
AI-assisted analytics deployment

Location

Global

Work Type

Full-time
Hybrid

Experience Level

VP or senior director leadership role
10+ years of progressive analytics, business intelligence, or revenue operations experience
Significant tenure in VP-level or equivalent executive leadership roles
Leading globally distributed teams

Education Level

BS/BA in Business/Finance, Engineering, Mathematics, Computer Science, or equivalent experience
Advanced degree preferred
MBA, MS in Applied Statistics, Data Science, Computer Science, or equivalent advanced analytical training strongly preferred

Salary/Compensations

Market competitive salary + success-oriented commission / bonus

Benefits

Supportive and engaged leadership team.
Career path and professional & personal development.
401(k) / pension plan and full benefits package available.
Enhanced statutory Maternity and Paternity Pay.
Personal and professional development.
A number of leave offerings: volunteer days, vacation days, public holidays, and flex/floating leave days.

About the Company

At Tricentis, we’re redefining what’s possible in software testing and quality engineering.
Our AI-driven, codeless, and continuous testing platform empowers enterprises to accelerate innovation, deliver higher-quality releases, and transform digital velocity at scale.
Recognized as a global leader by Gartner, Forrester, and IDC, Tricentis partners with the world’s largest and most innovative companies.
We’re a team of curious learners, ambitious achievers, and collaborative competitors who believe in constant growth—both for our customers and ourselves.
If you’re motivated by challenge, feedback, and the pursuit of excellence, you’ll thrive here.
Tricentis is a global leader in continuous testing and quality engineering.
The Tricentis AI-based, continuous testing portfolio of products provide a new and fundamentally different way to perform software testing.
An approach that’s totally automated, fully codeless, and intelligently driven by AI.
It addresses both agile development and complex enterprise apps, enabling enterprises to accelerate their digital transformation by dramatically increasing software release speed, reducing costs, and improving software quality.
Widely credited for reinventing software testing for DevOps, cloud, and enterprise applications, Tricentis has been recognized as a leader by all major industry analysts, including Forrester, Gartner, and IDC.
Tricentis has more than 3,000 customers, including the largest brands in the world, such as McKesson, Allianz, Telstra, Dolby, and Vodafone.
To learn more, visit https://www.tricentis.com.

Equal Opportunity

Tricentis is proud to be an equal opportunity workplace.
Qualified applicants will receive consideration for employment without regard to race, color, ethnicity, gender, religious affiliation, age, sexual orientation, socioeconomic status, or physical and mental disability and other statuses protected by law.