Note: The job is a remote job and is open to candidates in USA. Saviynt provides an AI-powered identity platform that manages and governs access to organizational applications, data, and business processes. The Marketing Analytics & Data Visualization Architect will lead Marketing’s reporting, analytics, data modeling, governance, and visualization capabilities while partnering with cross-functional teams to deliver actionable insights and AI-enabled analytics.
Responsibilities
- 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
- 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
- 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
- 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
Skills
- • 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
- • 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
Benefits
- Tremendous growth and learning opportunities through challenging yet rewarding work
- Learning and tremendous opportunities to grow and advance in your career
- You may also be eligible to participate in a Saviynt discretionary bonus plan, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Company Overview
Company H1B Sponsorship