American Public Education, Inc. (APEI)

Director, Data Platform, Analytics & Reporting

American Public Education, Inc. (APEI)

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Job Level

Lead

Tech Stack

AzureCloudPythonSQLVault

About the role

  • Define the details of and execute the data platform & analytics strategy, aligned to business objectives and overall data/analytics senior leadership vision and strategy.
  • Collaborate on the roadmap with data & analytics product management and owns delivery of roadmap.
  • Build and lead high-performing data, data platform, analytics, and compliance/operational reporting team.
  • Drive cloud-native batch ELT architecture and event-driven ingestion patterns.
  • Design and implement processes and systems for regulatory compliance (e.g., GDPR, CCPA) in partnership with the Data Management & Governance team.
  • Establish platform governance for performance, cost optimization, and security compliance.
  • Drives design and implementation of scalable, resilient data pipelines for batch and streaming workloads.
  • Oversee data modeling standards (e.g. dimensional, Data Vault) and enforce best practices for schema evolution.
  • Ensure observability, lineage, and quality frameworks are embedded in pipelines and orchestration.
  • Implement data quality SLAs, monitoring, and incident response processes.
  • Enable self-service analytics and data product development through delivering analytic ready data including robust BI semantic models/certified datasets.
  • Evaluate and create adoption strategies around relevant emerging technologies.
  • Foster a culture of automation and reliability.
  • Owns budgeting and forecasting for the data & analytics platform along with vendor and partner management.
  • Plans work and team capacity with peer leaders and data product owners/management.
  • Create consistent framework for analytics and reporting across all business units with clear understanding of definitions and measures.
  • Interacts, consults with and influences senior management at various levels of the organization, with various internal organizations (e.g. management, finance, academics, operations, legal).
  • Act as liaison between the business operations and available data, working on various initiatives to maintain visibility and understanding of the data and decisions being made.
  • Ensure timely and accurate development of analytics solutions as well as fulfilling ad hoc analytics needs for leadership.
  • Collaborate with Architecture and Engineering team for data acquisition/ingestion.
  • Mentor the team and data/analytics/reporting leads and develop succession plans.
  • Demonstrate staff planning and assessment skills, and strong leadership skills including consensus-building, conflict resolution, motivation and decision-making.
  • Present findings, analyses, and recommendations to team and senior management.
  • Promote identification of best practices and fosters cross functional sharing of initiatives, innovation and best practices.
  • Drive strong success metric definition and adherence including analytic stakeholder satisfaction on consultative and delivery efforts, increasing adoption of self-service, rationalizing and reducing report sprawl to improve user and adoption of analytical best practices and standards, platform reliability, time to analytic ready data, time to first pipeline, cost efficiency, and adoption of architectural and platform standards.

Requirements

  • 12+ years in data and analytics roles with increasing influence and leadership responsibilities around data platform/engineering, data platform architecture, analytics, and operational/compliance reporting.
  • 7+ years in analytics and data leadership including leading design and delivery of enterprise data warehouse / lakehouse platform and enterprise analytical data products and solutions.
  • Bachelor of Science in Business, Analytics, Information Technology, Computer Science, or equivalent with Master’s in Data/Analytics related degree preferred.
  • Proven experience with cloud data and analytics platforms with Snowflake, Power BI, Azure and Coalesce.io/DBT or similar ELT pipeline and orchestration tools highly preferred.
  • Deep expertise in SQL and Python as well as ELT patterns.
  • Experience with streaming/event-driven architectures.
  • Implemented data ops practices including automation and CI/CD data/analytics pipelines.
  • Proven experience managing and delivering a wide variety of reporting and analytic solutions to internal and external stakeholders.
  • Knowledge of data quality frameworks, lineage tools, MDM tools, and observability platforms.
  • Strong experience with leading globally distributed remote teams including employees and contract delivery teams.
  • Solid planning, priority setting, product and project management skills with demonstrated experience managing multiple projects and cross functional teams concurrently.
  • Strong process improvement skills & initiative to always seek improvements.
  • Strong problem solving and analytical skills alongside creative thinking and innovative approaches within a strategic and broad perspective.
  • Broad conceptual judgment, initiative, and must possess theoretical thinking skills.
  • Track record of delivering large-scale, mission-critical data platforms with measurable business impact.
  • Strategic thinking with ability to translate business goals into platform capabilities.
  • Exceptional stakeholder management and influence across business and technology.
  • Build talent: proven ability to attract, develop, motivate, and retain top data and analytics talent.
  • Strong experience modernizing and maturing an enterprise data platform, analytics, and reporting team and practices along with establishing a culture of continuous improvement.
  • In depth knowledge of architectural best practices for cloud data platforms, BI/Analytics and semantic modeling, design patterns for self-service analytics and scalable BI, governance and security principles.
  • Excellent verbal and written communication skills, ability to communicate and lead effectively with all levels of the organization from analysts to C-Level executives.
  • Strong financial acumen for cost optimization and FinOps in cloud environment.
Benefits
  • Competitive salary
  • Remote work options
  • Professional development opportunities

Applicant Tracking System Keywords

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

Hard skills
data platform architectureanalyticsdata engineeringSQLPythonELT patternsdata ops practicesCI/CD data pipelinesdata modeling standardsdata quality frameworks
Soft skills
leadershipstakeholder managementproblem solvinganalytical skillsstrategic thinkingprocess improvementcommunication skillsteam mentoringconflict resolutionconsensus-building
Certifications
Bachelor of Science in BusinessBachelor of Science in AnalyticsBachelor of Science in Information TechnologyBachelor of Science in Computer ScienceMaster’s in Data/Analytics related degree