Sprinklr
Sprinklr
Sprinklr develops enterprise SaaS for customer experience management, bringing customer service, social media, marketing, and analytics workflows together in one platform. Its product portfolio includes Sprinklr Service, Sprinklr Social, Sprinklr Insights, and Sprinklr Marketing, with AI-powered capabilities designed to surface real-time insights, coordinate digital interactions, and support more efficient team workflows. Founded in 2010, the company operates across the SaaS, marketing, and consulting sectors.

Director of Business Intelligence — Austin, TX (Hybrid)

Lead Sprinklr’s business intelligence organization, data platforms, and AI analytics for its unified customer experience software. Build scalable, trusted decision-making capabilities across global enterprise functions.

Description

  • Turn the business intelligence strategy into a prioritized roadmap spanning multiple quarters
  • Oversee project intake and delivery against organizational priorities
  • Develop strategic partnerships and support high-impact executive initiatives
  • Find, prioritize, and scale opportunities for AI-powered analytics and automation
  • Expand predictive, prescriptive, and generative analytics across forecasting, anomaly detection, risk scoring, recommendations, natural-language queries, AI copilots, and automated insights
  • Direct the development of data architecture, warehouses, models, semantic layers, metadata, and ETL/ELT pipelines
  • Define service levels and standards for documentation, governance, data quality, security, and compliance
  • Provide executive dashboards, enterprise KPIs, self-service analytics, and near-real-time reporting
  • Increase analytics adoption and strengthen cross-functional decision-making
  • Recruit, manage, and mentor a global team of BI engineers, data engineers, analysts, and data scientists
  • Establish team objectives, develop technical and AI expertise, and promote career progression
  • Manage the BI technology portfolio, vendor approach, modernization roadmap, budget, and resource allocation
  • Increase delivery velocity, platform performance, and reporting quality through agile methods, automation, and disciplined operations
  • Report to the Vice President of Business Intelligence
  • Collaborate with Finance, Sales, Marketing, Customer Success, Product, and HR

Requirements

  • Bachelor’s degree in computer science, information systems, data analytics, or a related discipline, or equivalent practical experience
  • At least 10 years of progressive experience in business intelligence, data engineering, or enterprise data management
  • Five or more years leading technical teams and delivering scalable BI and analytics solutions in a high-growth global software or SaaS organization
  • Advanced experience with Snowflake, Power BI and/or Tableau, SQL, data warehousing, ETL/ELT, and cloud platforms including AWS or Azure
  • Familiarity with enterprise applications and data models such as Salesforce, Workday, and NetSuite
  • Track record of establishing data governance and data quality frameworks
  • Experience producing measurable gains through AI-enabled automation, predictive analytics, or productivity initiatives
  • Experience directing complex, multi-phase BI programs while balancing competing priorities and budgets
  • Strong people leadership, stakeholder management, and executive communication abilities
  • Current, unrestricted authorization to work in the country where the position is based
  • Must not require visa sponsorship or employer-provided work authorization support
  • Availability for an in-person interview during the hiring process

Benefits

  • Eligibility for a discretionary bonus, commission, and/or equity plan based on the role
  • 401(k) plan with company contributions that are fully vested
  • Flexible paid time off
  • Company holidays
  • Generous caregiver and parental leave programs
  • Life and disability insurance
  • Medical, dental, vision, and prescription drug coverage
  • Optional healthcare coverage for employees and families where applicable
  • Paid leave for rest and time with loved ones
  • Open Mentoring Program
  • Reasonable accommodations available throughout the interview process

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