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# Director, Data Platforms and Operations Organization

- **Company:** Apryse Software Corp.
- **Location:** Los Angeles, CA, United States (Remote available)
- **Salary:** $110,000.0 - $160,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Windows, Adobe Acrobat, Artificial Intelligence, Amazon Web Services, Data Analysis, Macintosh Computers, Microsoft Azure, Business Systems, Cloud Computing, Data Architecture, Information Engineering, Data Files, Data Governance, Data Infrastructure, Data Security, Data Warehousing, Database Design, Desktop Computing, Document Management Systems, Dimensional Modeling, Mobile Application Software, Python (Programming Language), Microsoft Software, Netsuite, Raw Data, Role-Based Access Control, Power BI, Standard Sql, Requirements Management, Salesforce.Com, Search Technologies, Software Engineering, SQL Databases, Systems Integration, Tableau (Software), Web Applications, Scripting, Application Enhancement Tool, Apache Spark, Data Strategy, Data Layers, Data Management, Data Pipelines, Databricks
- **Published:** September 18, 2026
- **Apply:** https://www.careerbuilder.com/job-details/director-data-platforms-and-operations-los-angeles-ca--3d31fd64-d13c-4351-9a35-455fc178efed

## About the Role

* 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
 * Experience managing a team, ideally spanning data engineering, data governance, and/or BI/analytics functions
 * Excellent communication skills; ability to be the "face" of the data platform to non-technical stakeholders
 * Experience with (or strong interest in) enterprise AI/knowledge tools like Glean is a plus
 * Background in high growth companies, preferably companies with heavy acquisition growth motions, Adobe Acrobat, Amazon Web Services (AWS), Apache Spark, Apple Macs, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Business Intelligence, Business Solutions, Career Counseling, Channel Strategies, Cloud Computing, Communication Skills, Cost Control, Data Description Language (DDL), Data Management, Data Modeling, Data Quality, Data Sets, Data Warehousing, Database Design, Desktop PC, Dimensional Modeling, Document Management, Editing, Embedded Systems, Entrepreneurship, Establish Priorities, Genetics, IBM Product Family, Internet Application, Leadership, Leading Edge Technology, Legal, Management Strategy, Mentoring, Mergers and Acquisitions, Microsoft Product Family, Microsoft Windows Azure, Microsoft Windows Operating System, Mobile Applications, NetSuite, People Management, Performance Management, Performance Metrics, Philosophy, Power BI, Python Programming/Scripting Language, Quality Metrics, Reporting Dashboards, Requirements Management, SQL (Structured Query
Language), Salesforce.com, Software Development, Software Engineering, Tableau, Team Lead/Manager, Technical Delivery, Technical Leadership, Work From Home

## Description

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.

Responsibilities

Team Leadership

 * 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
 * Mentor and develop team members, balancing hands-on technical guidance with career growth
 * Own hiring, performance management, and resourcing decisions for the team

Data Architecture & Engineering

 * Design and own the overall data platform: warehouse/lakehouse structure, schema design, and data modeling standards
 * Build, orchestrate, and maintain reliable data pipelines that move data from source systems into governed, analytics-ready models
 * Establish and enforce standards for data quality, dimensional modeling, and pipeline reliability
 * Manage cloud data infrastructure and associated cost optimization

BI Strategy & Reporting

 * Own the BI strategy - define how the business accesses trusted data, from executive dashboards to self-serve reporting
 * Build and evolve centralized reporting with appropriate access controls (RBAC)
 * Partner with department leaders to turn raw data into decision-ready insights and KPIs

Technical Partnership to the Business

 * Manage and own Data Platform roadmap and prioritization
 * Serve as the primary technical point of contact between the data platform and business stakeholders
 * Translate business requirements into scoped, deliverable technical initiatives
 * Act as a trusted advisor on what''s possible with our data, and set realistic expectations on delivery

AI / Glean Data Ownership

 * Own the data layer supporting our Glean implementation, ensuring source systems are properly connected, indexed, and governed for AI search
 * Partner with IT/AI stakeholders to define data access, quality, and security standards for AI-powered tools
 * Partner with the Agent Builder team to ensure AI agents are powered by trusted, governed data
 * Help shape the broader data strategy as AI becomes more embedded in daily workflows


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