A leading technology firm in Raritan, NJ, seeks an experienced candidate to oversee ThoughtSpot environments and develop advanced analytics tools. Responsibilities include managing SaaS and on-prem deployments, ensuring compliance with security requirements, and implementing automation for data workflows. The ideal candidate should possess strong skills in ThoughtSpot, ANSI-SQL, and Dimensional Data Modeling.
Qualifications
Experience managing ThoughtSpot SaaS and on-prem environments.
Strong understanding of user provisioning and security compliance.
Proficiency in scripting languages like Python and PowerShell.
Responsibilities
Oversee ThoughtSpot environments, ensuring upgrades and monitoring.
Develop and maintain analytics tools supporting business teams.
Implement CI/CD pipelines and automate content migration.
Skills
ThoughtSpot
ANSI-SQL
Dimensional Data Modeling
Job description
Administration Platform Ownership
Oversee ThoughtSpot SaaS and on‑prem environments including upgrades, monitoring, scaling and high‑availability configurations
Manage user provisioning, SSO/IAM integration, RBAC/ABAC policies and enterprise compliance requirements (SOX, HIPAA, GDPR, GxP)
Implement governance controls with audit trails, usage monitoring and security compliance dashboards
Partner with development teams to ensure cloud cost optimization and performance SLAs are consistently met
Development Analytics Enablement
Develop and maintain Worksheets, Liveboards, Pinboards and SpotApps to support business teams
Build ThoughtSpot Modeling Language (TML) assets with reusable, governed logic
Design row‑level and column‑level security for sensitive datasets
Embed analytics into enterprise applications (Salesforce, ServiceNow, SharePoint, custom portals) using APIs and SDKs
Collaborate with data engineering teams to optimize queries on Snowflake, BigQuery, Synapse, Redshift and other modern data warehouses
Automation DevOps
Implement CI/CD pipelines for TML objects with GitHub
Automate content migration, backup and provisioning using ThoughtSpot APIs, scripting (Python, PowerShell) and orchestration tools
Deploy self‑healing automation frameworks to monitor query failures, broken dashboards and license consumption
Integrate ThoughtSpot with workflow engines (Airflow, ADF, ControlM, Alteryx) for data pipeline orchestration
AI Advanced Analytics
Enable SpotIQ and ThoughtSpot Sage AI‑powered insights and natural language querying to maximize adoption
Collaborate with data science teams to embed ML models into ThoughtSpot workflows, predictive dashboards, anomaly detection and recommendation engines
Integrate ThoughtSpot with enterprise AI/ML platforms (OpenAI, Azure OpenAI, AWS Bedrock, Google Vertex AI) for conversational BI experiences
Build AI‑driven automation for anomaly detection, predictive analytics and proactive report generation
Evaluate and implement generative AI use cases within ThoughtSpot for data storytelling, automated insights and natural‑language to SQL translation
Skills
Mandatory Skills: ThoughtSpot, ANSI‑SQL, Dimensional Data Modeling