The Sr. Director of Data Analytics and Engineering will be responsible for leading and overseeing the end-to-end data lifecycle, from engineering, architecture and governance to advanced analytics and data science. This strategic leadership role requires a seasoned professional with a strong technical background matched with a strong business background, excellent leadership skills, and the ability to drive innovation and data-driven decision making across the company. 

Working closely with executive leaders you will play a pivotal role in shaping and driving the company wide data strategy to support the organization's objectives. With preferred established experience in SaaS companies you will develop a deep understanding of HashiCorp's go-to-market model, products, FP&A, and how we can apply advanced analytics, AI/ML modeling etc. to directly impact company performance.

In this role, you will lead a diverse team of experts and establish the group as the center of excellence, including data analysts, data engineers, data scientists, data architects and data governance professionals. 

• Develop and drive the strategic vision for data, analytics, and AI/ML within HashiCorp. Serve as a thought partner for the business and enable data as a strategic asset to unlock business value.
• Lead all aspects of development and management of data infrastructure (e.g., DW, data pipelines) for improved data accessibility.
• Operate as a change agent to accelerate our journey in becoming a best-in-class data-driven organization.
• Collaborate with key business leaders across GTM, G&A, and R&D to understand, prioritize, and deliver the data platforms and tools they need based on key use cases
• Build credibility and trust across the organization
• Lead, build and develop a motivated data analytics/product team that works closely with business stakeholders and engineers to drive from data to insights
• Lead, build and develop a motivated data engineering team that works closely with Platform development teams and leverages next gen practices (e.g., MLOps, Data Ops).
• Build a bench of technical data talent that can help improve data literacy through the support and education of end-users.
• Define, lead, and advance our information management principles, policies, and programs. Partner closely with legal, GRC, security, and corporate governance teams.
• Develop and maintain controls on data quality, interoperability, and data sources to effectively manage corporate risk.
• Stay abreast of new technologies and practices including but not limited to AI, Machine Learning, Cloud, Advanced Analytics, and Business Intelligence Software.

• Minimum 15+ years of leadership with progressively increased responsibility leading large scale teams in data initiatives with an innovative, customer-first approach.
• Deep knowledge of the overall data ecosystem for enterprise SaaS companies, including key systems and business processes that generate data, and how the data can be used to extract real business value.
• Experience building a culture around data sharing, governance and hygiene while bringing expertise and sensitivity to data security, risk and compliance.
• Strong understanding of next gen data practices (e.g., MLOps, Data Ops, Data Science) and experience applying them in an enterprise organization.
• Demonstrated track record of driving large-scale, cross-functional change programs and transformation initiatives.
• Analytics expert with experience in delivering data science initiatives, accelerating analytics-driven outcomes, and transforming data into business value.
• Fluent in data technologies such as data governance tooling, data platform technologies, and enterprise/data architecture principles.
• Experience leading a large portfolio of programs/projects and associated ongoing prioritization and resource allocation.
• Have a pragmatic approach to costs and how they impact the use of data in consumption based model