Apryse is a comprehensive collection of document processing products that offers superior document solutions for faster, better results. Backed by Silversmith Capital Partners.
About the role
Lead and grow the Data Engineering, Data Governance, and BI/Analytics teams Set priorities, workflows, and quality standards across the three functions, ensuring they operate as one cohesive data organization
What they're looking for
- Experience architecting and delivering enterprise-scale data platforms and pipelines, including pipeline orchestration and scheduling (e.g., Azure, AWS, Databricks, Apache Spark)
- Strong SQL/DDL skills and working proficiency in Python (or similar) for data engineering tasks
- Experience with dimensional modeling and schema design, and hands-on ownership of a data warehouse or lakehouse (medallion architecture experience a plus)
- Track record of building BI reporting and dashboards (Tableau, Power BI, or similar) with governed, centralized access
- Experience integrating and normalizing data from core business systems (e.g., Salesforce, NetSuite, or similar enterprise platforms)
- Comfort operating as both an individual contributor and a leader — this role builds pipelines and leads people
More about this role
About the Role
The Director of Data Platform & Operations serves as both the technical backbone and the people leader of our data organization: the architect who designs and builds our data infrastructure, the engineer who ships and maintains the pipelines that power it, and the primary technical point of contact bridging the business and the platform. This person will lead our Data Engineering, Data Governance, and BI/Analytics teams, own our BI strategy end to end, and lead the data foundation for our Glean AI implementation, ensuring the data feeding our AI search and knowledge tools is well-structured, governed, and trustworthy.
This is a hands-on leadership role: equal parts architect, engineer, people manager, and strategic partner to the business.
Why This Role Matters
Data is the foundation everything else gets built on: reporting, AI, and business decisions all depend on it being accurate, accessible, and well-architected. This role owns that foundation and is the go-to technical voice ensuring the rest of the business can trust and use it.
Team Leadership
Lead and grow the Data Engineering, Data Governance, and BI/Analytics teams
Set priorities, workflows, and quality...
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