Job description
Job Description:
We are seeking an experienced, insight-driven Director of Marketing Analytics to lead our client’s vision, systems, and operations that drive data-informed marketing decisions. This leader will transform marketing analytics into a performance engine—delivering actionable insights, scalable measurement frameworks, and predictive capabilities to accelerate growth across segments.
This role reports to the client’s VP of Marketing Operations and collaborates closely with Revenue Marketing, Product Marketing, and the centralized Global Analytics & Insights (GAI) team. You’ll drive scalable measurement frameworks and actionable insights in partnership with GAI—ensuring that marketing decisions are aligned with enterprise standards while enabling marketing-specific agility and precision.
With an enterprise-wide mindset, you’ll guide how marketing measures success, makes data-driven decisions, and collaborates across teams to improve conversion, attribution, and planning. From defining funnel metrics to embedding AI into forecasting models, you’ll lead the client’s team that connects marketing activity to revenue impact.
Responsibilities:
- Lead the global marketing analytics strategy, aligning KPIs, reporting frameworks, and modeling efforts with the client’s go-to-market and segmentation strategies.
- Define and scale funnel measurement, pipeline contribution, and campaign effectiveness reporting to drive performance visibility across all levels of the organization.
- Develop and operationalize attribution models, forecasting tools, and audience segmentation logic—delivered through intuitive, executive-ready dashboards.
- Collaborate closely with the Client’s Global Analytics & Insights (GAI) team to align on data pipelines, shared governance, and enterprise-wide analytics initiatives.
- Work cross-functionally with data engineering, Marketing Operations, and centralized analytics partners to unify business definitions, metrics, and system logic.
- Act as the strategic lead for marketing’s analytics roadmap, ensuring that platform architecture, data models, and enterprise dashboards reflect evolving business needs.
- Embed predictive analytics and automation into campaign planning, lead management, and lifecycle marketing processes.
What You’ll Need to Be Successful
- 10+ years of experience in marketing analytics, business intelligence, or revenue operations, including 3–5 years in senior leadership roles within B2B SaaS or enterprise tech environments.
- Proven ability to design and scale analytics capabilities that drive marketing performance across segments, channels, and lifecycle stages.
- Strong proficiency in BI tools (e.g., Tableau, Power BI, Domo), SQL, and modern data infrastructure platforms such as Snowflake.
- Hands-on experience with full-funnel attribution modeling and tools such as RevSure, Bizible, or CaliberMind.
- Familiarity with reverse ETL tools and the modern data stack (e.g., dbt, Hightouch, Census), and how they support scalable data operations.
- Demonstrated success guiding predictive models, marketing forecasts, and AI use cases in partnership with data science or centralized analytics teams.
- Experience developing analytics to support ABM programs, audience segmentation, and intent-based targeting.
- Deep understanding of MarTech ecosystems (Salesforce, MAPs, CDPs) and how data flows across platforms to enable integrated insights.
- Strong communicator with the ability to translate complex analytics into clear, compelling narratives for both executives and marketing practitioners.
- Comfortable operating within a matrixed, enterprise environment and collaborating with centralized teams to align on governance, models, and KPIs.
What Success Looks Like
- Marketing Analytics as a Strategic Function: Data is embedded into the way marketing teams plan, optimize, and report, driving smarter decisions at every level.
- Enterprise Collaboration: Marketing’s insights and measurement models are seamlessly aligned with those of the client’s centralized GAI team and enterprise data strategy.
- Trusted Attribution & Forecasting: Clear, well-adopted models for channel attribution, ROI, and pipeline forecasting are actively used across GTM functions.
- Self-Service, Real-Time Dashboards: Campaign and segment leaders have fast, flexible access to accurate data in a centralized BI environment.
- Predictive & Prescriptive Insights: AI-enabled insights help the business act ahead of the curve—improving conversions, reducing waste, and accelerating performance.
- Data Consistency & Governance: Marketing metrics and definitions are standardized, trusted, and in full alignment with enterprise governance practices.
About RevOpsforce:
We are On-Demand, Technical RevOps Experts for Go-to-Market Teams.
RevOpsforce is a tech-enabled consulting firm redefining how B2B SaaS companies scale and optimize revenue operations. We eliminate inefficiencies, reduce costs, and accelerate execution by streamlining tech stacks, automating workflows, and integrating data for full go-to-market alignment. We don’t just advise—we execute, delivering hands-on solutions that drive real impact. Backed by a network of top-tier RevOps experts, we partner with high-growth companies to build scalable, efficient, and cost-effective revenue engines. If you’re looking to work on cutting-edge projects that shape the future of RevOps, we’d love to have you on board.
We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
www.revopsforce.com
