Marketing Analytics & Data Visualization Architect (Remote, USA)

Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world’s leading brands, Fortune 500 companies and government institutions. For more information, please visit www.saviynt.com.

We’re looking for a Marketing Analytics & Data Visualization Architect to modernize how Marketing performance is measured, analyzed, visualized, and communicated across the organization.

Reporting into the Director of Marketing Analytics & AI Strategy, you will own the reporting and analytics layer across Marketing while partnering with Demand Generation, Finance, Revenue Operations, Sales Operations, Partner, Content, and other business teams.

You will also work closely with our GTM Marketing & AI Architect and be a key voice in AI and technology decisions that affect data, analytics, reporting, and visualization.

What You’ll Drive

Reporting & Data Visualization

• Build executive-ready dashboards and reporting across Marketing performance, pipeline, funnel conversion, campaign effectiveness, attribution, and ROI.

• Define consistent KPIs, metric definitions, and visualization standards across Marketing.

• Turn complex data into clear business insights and actionable recommendations.

• Modernize reporting through self-service analytics, automation, and AI-assisted insight generation.

Data Modeling & Governance

• Connect and model data across Salesforce, Snowflake, HubSpot, and other GTM systems.

• Build scalable analytical and semantic models that support full-funnel reporting and attribution.

• Establish trusted sources of truth through data governance, documentation, lineage, quality, and reporting certification.

• Partner with Marketing Operations, RevOps, Finance, Data, and system owners to ensure data is structured and accessible for analytics.

AI-Powered Analytics & Technology

• Partner in evaluating AI tools, platforms, and architecture that support Marketing analytics, reporting, visualization, and business intelligence.

• Define the data, metrics, semantic models, and visualization requirements that support new AI agents and workflows.

• Develop AI-enabled analytics capabilities such as conversational reporting, automated insights, and intelligent visualization.

• Participate in architecture decisions involving MCP, APIs, Snowflake, Salesforce, BI platforms, and other enterprise data technologies.

Cross-Functional Insight Partner

• Partner with Marketing leadership and cross-functional teams to translate business questions into measurable KPIs and scalable reporting solutions.

• Identify performance gaps, pipeline leakage, and optimization opportunities across the funnel.

• Present findings and recommendations with clarity and executive presence.