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. What you bring: Must-Have 5+ years in Marketing Analytics, Marketing Operations, Business Intelligence, Data Visualization, or a related discipline. Strong experience with BI and visualization platforms such as Tableau, Power BI, Looker, or similar. Deep understanding of Salesforce CRM data structures and B2B marketing funnel metrics. Experience with enterprise data platforms such as Snowflake, Databricks, BigQuery, Azure, or similar. Strong SQL and data modeling skills with experience connecting data across multiple business systems. Experience with attribution, pipeline reporting, campaign measurement, and Marketing ROI. Strong business acumen and ability to translate complex data into clear executive insights. Nice-to-Have Experience with AI tools, agentic workflows, or AI-driven analytics, including Claude, ChatGPT, Snowflake Cortex, Cursor, or similar. Familiarity with MCP, APIs, semantic models, structured prompting, JSON, or context engineering. Experience with dbt, Python, R, or similar analytics technologies. Experience in high-growth B2B SaaS, cybersecurity, or enterprise technology. You’re the Type of Person Who Thinks in data models and business decisions, not just dashboards. Connects systems, metrics, and insights across the funnel. Turns complex analysis into clear, actionable narratives. Cares about trusted data, governance, and consistent definitions. Understands how AI can make analytics faster, smarter, and more accessible. Why This Role Matters You will drive how Marketing performance is measured and understood across the organization. You will create the trusted analytics and visualization layer behind our broader AI-powered GTM strategy. You will help move Marketing from traditional reporting toward intelligent, self-service, AI-assisted analytics.