Set the platform development roadmap for enterprise reporting, self service analytics, and insight products embedded in our SaaS platform, aligned to OKRs and customer outcomes
Lead & grow high performing teams spanning product analytics, data science, and BI/analytics engineering; establish clear role expectations, coaching rhythms, and succession plans
Build & scale the data/analytics stack: semantic metrics layer, governed datasets, event instrumentation/telemetry, experimentation frameworks, and analytics observability; drive reliability, performance, and cost efficiency at scale
Deliver customer facing and internal stakeholder insights (dashboards, anomaly alerts, executive scorecards) and internal decision tools that quantify value (savings, leakage, compliance, adoption, ROI)
Advance data science use cases across forecasting, optimization, anomaly/fraud/leakage detection, causal inference, and personalization; operationalize models with robust monitoring and A/B testing
Institutionalize data governance (quality, lineage, privacy/security) and champion Responsible AI; partner with Security/Compliance on controls (e.g., SOC 2, GDPR/CCPA)
Own portfolio execution—from discovery and design to GA and iteration—using evidence based prioritization, strong program management, and crisp executive communication with internal stakeholders, leaders and clients
Partner across the business to support commercial motions (value narratives, demos, analytics SLAs) and customer outcomes (adoption playbooks, benchmarks, and health KPIs)
Hire, grow, and mentor team members to effectively and efficiently build, deploy and scale data and insights products

Requirements

Extensive experience leading analytics/insights organizations with direct management of product team members and data science practitioners in a SaaS or data rich product context
Proven track record building and scaling enterprise reporting, analytics, and insights platforms/products used by external customers.
Experience with Databricks, Snowflake, Power BI, Thoughtspot or Sigma preferred
Domain experience in corporate travel or spend management (e.g., T&E, procurement/AP, payments) or adjacent B2B data products
Deep fluency with cloud data warehousing, semantic/metrics layers, BI tooling, and experimentation; solid grasp of ML lifecycle and MLOps best practices
Strong product sense and storytelling; ability to translate complex analytics into simple narratives and actions for executives and customers
Excellence in stakeholder management, roadmap prioritization, and change leadership across matrixed, global organizations
Bachelor’s degree in a quantitative field or equivalent experience; advanced degree a plus.

Benefits

Flexible working hours and work-from-home or remote opportunities
Opportunities to grow your skillset and career
Generous vacation days so you can rest and recharge
A compensation package that feels fair to you, including mental, physical, and financial wellbeing tools
Travel industry professional perks and discounts
An inclusive work environment where diversity is celebrated

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data scienceanalytics engineeringenterprise reportingA/B testingdata governanceML lifecycleMLOpsevent instrumentationsemantic metrics layerforecasting

Soft Skills

stakeholder managementprogram managementstorytellingcoachingleadershipcommunicationroadmap prioritizationchange leadershipmentoringteam building

Certifications

Bachelor’s degree in quantitative fieldadvanced degree