Key Responsibilities

Data Strategy & Vision

• Define and own the companys multi-year data strategy ensuring alignment with business priorities across revenue growth operational efficiency and customer experience.
• Develop and maintain enterprise data standards governance frameworks and policies that ensure consistency accuracy and compliance across all data assets.
• Identify and evaluate emerging data technologies platforms and methodologies including AI/ML-powered analytics and build a roadmap for their adoption where they deliver measurable commercial value.
• Partner with senior leadership (VP Finance CTO SVP Operations) to translate business questions into structured analytical programs w/clear data requirements & success metrics.
• Represent the data function in cross-functional leadership discussions board presentations and external partner conversations as the companys data authority.

Data Infrastructure & Engineering

• Oversee the design development and continuous improvement of our data pipelines data warehouse and ETL/ELT processes to ensure scalable reliable and timely data delivery.
• Deploy and manage automation tools that streamline the acquisition processing and integration of structured and unstructured data from disparate internal and external sources.
• Establish and enforce data quality standards and monitoring practices implementing data validation lineage tracking and anomaly detection to safeguard the integrity of all data assets.
• Evaluate and manage key data platform vendors and tools (e.g. cloud data warehouses BI platforms statistical software) ensuring fit-for-purpose selection and cost-effective usage.
• Ensure data infrastructure is built for scale with architectural decisions that support 23x data volume growth over the next 1824 months.

Analytics Insights & Business Intelligence

• Lead the design and delivery of dashboards reports and analytical models that support decision-making across commercial operational and financial functions.
• Construct and maintain analytical datasets that enable trend analysis forecasting cohort analysis segmentation and performance benchmarking across the business.
• Apply statistical methods predictive modeling and advanced analytical methodologies to surface non-obvious insights that inform both tactical decisions and long-term strategy.
• Champion self-serve analytics capabilities enabling business stakeholders to access and interpret data independently while maintaining appropriate governance guardrails.
• Develop a rigorous A/B testing and experimentation framework to support continuous improvement across product pricing marketing and customer success functions.

Team Leadership & Organizational Development

• Build lead and develop a high-performing data team including analysts and BI developers through hiring mentorship performance management and structured growth planning.
• Establish a team culture defined by intellectual curiosity data literacy operational discipline and a strong bias toward delivering business impact.
• Create a data literacy program that upskills non-technical stakeholders across the organization fostering a data-informed culture at every level.
• Own departmental budgeting headcount planning and vendor spend ensuring resources are deployed effectively to maximize the return on data investment.
• Define and track team performance metrics including delivery velocity data quality scores stakeholder satisfaction and coverage of analytical use cases.

Stakeholder Partnership & Data Activation

• Act as a strategic thought partner to commercial and operational leaders translating complex analytical outputs into clear actionable recommendations.
• Partner with the Sales and Marketing teams to develop customer segmentation models demand forecasting tools and campaign attribution frameworks that directly support revenue growth.
• Support the Finance function with financial modeling inputs scenario analysis and KPI reporting that improve the accuracy and speed of financial planning cycles.
• Collaborate with Product and Technology teams to embed data-driven feedback loops into the product development lifecycle from feature prioritization to post-launch measurement.
• Develop and maintain a stakeholder engagement cadence including regular business reviews roadmap alignment sessions and feedback mechanisms to ensure the data function remains tightly connected to evolving business needs.

Data Governance Security & Compliance

• Own the companys data governance framework ensuring policies and practices are in place for data classification access control retention and documentation.
• Ensure all data practices are compliant with applicable data privacy regulations (e.g. GDPR CCPA) and internal security standards particularly in relation to customer and partner data.
• Develop and maintain a data catalog and data dictionary that provides organization-wide visibility into available data assets their provenance and appropriate use.
• Proactively assess and mitigate data risk including risks associated with third-party data sharing AI model inputs and evolving regulatory requirements.