Frontline Education
Senior Director, Enterprise Applications & Operations
🇺🇸 Remote - US
🕑 Full-Time
💰 TBD
💻 Data Science
🗓️ July 24th, 2025
CRM
ETL
GraphQL
Edtech.com's Summary
Frontline Education is hiring a Senior Director of Enterprise Applications & Operations. The role involves leading the strategy, design, and delivery of internal enterprise applications, analytics, data governance, and cloud operations, while managing a team of BI analysts, data engineers, and AI specialists to create scalable AI-powered solutions that enhance business insight and efficiency.
Highlights
- Lead enterprise applications roadmap focusing on AI/ML enablement aligned with corporate data strategy.
- Oversee data architecture, predictive analytics, and automation of workflows.
- Implement data governance, ethical AI practices, and model lifecycle management.
- Build automated AI-enabled workflows for ETL, data cleansing, reporting, and system integrations.
- Manage BI and analytics platforms including Power BI, SSAS, Azure Synapse, and Snowflake.
- Require 10+ years in leadership roles within enterprise applications, BI, or data engineering, with AI/ML initiative experience.
- Hands-on expertise with cloud data platforms, BI tools, and machine learning frameworks like TensorFlow and PyTorch.
- Strong program/project management skills delivering complex technology programs.
- Preferred qualifications include advanced degrees or certifications in Data Science, AI, or related fields and experience with MLOps and SaaS operations.
- Offers competitive salary, bonus structure, 401k match, PTO, and tuition reimbursement program.
Senior Director, Enterprise Applications & Operations Full Description
Senior Director, Enterprise Applications & Operations
Location: United States
Description
Sr Director, Enterprise Applications & Operations
Remote or hybrid to Wayne, PA or Naperville, IL
Role Overview
The Senior Director of Enterprise Applications & Operations is a visionary leader who owns the strategy, design, and delivery of Frontline Education’s internal enterprise applications, analytics platforms, data governance, and cloud/IT operations. Reporting to the Chief Technology Officer, this role leads a team of BI analysts, data engineers, architects, and system specialists to build robust, scalable, and AI-powered data solutions that drive insight, efficiency, and sustainable processes across the business.
Key Responsibilities :
1. Strategic Leadership & AI Thought Leadership
- Define and drive the Enterprise Applications & Operations roadmap, with a strong focus on AI/ML enablement, ensuring alignment with Frontline’s strategic goals and corporate data strategy.
- Own Frontline’s internal data architecture and availability — identifying opportunities for predictive analytics, optimizing decision-making, and automating workflows.
- Champion best practices in data governance, ethical AI usage, model lifecycle management, and bias mitigation to ensure responsible adoption of emerging technologies.
2. Sustainable Workflow Innovation
- Lead the design and implementation of automated, AI-enabled workflows for ETL, data cleansing, reporting, and system integrations—reducing manual effort and technical debt.
- Establish metrics and monitoring for workflow efficiency, model performance, governance compliance, and data quality, iterating to create self-sustaining pipelines.
- Collaborate with DevOps/SRE teams to embed observability and continuous-learning loops into data and application lifecycles.
3. Team Management & Culture
- Build and mentor a high-performing, cross-functional team of BI Analysts, Data Engineers, Systems Architects, and AI specialists.
- Foster a culture of experimentation, continuous learning, and “fail-fast, learn-fast” innovation.
- Oversee talent planning, performance reviews, and professional development to upskill teams in cloud-native and AI technologies.
4. Enterprise Systems & Data Architecture
- Own the design, deployment, and maintenance of critical platforms:
- BI & Analytics: Power BI, SSAS, Azure Synapse, Snowflake
- Data Engineering: ETL/ELT (Tray.io, Azure Data Factory), data lake architecture, real-time streaming (Kafka, Event Hubs)
- Integrations & CRM: Salesforce, REST/GraphQL APIs, iPaaS solutions
- Ensure systems are built with governance controls – encryption, role-based access, privacy handling, auditing, logging, and more – and are designed for continuous integration of new AI tooling.
5. Operational Excellence & Performance
- Drive end-to-end delivery of data solutions: roadmap planning, agile project management, sprint execution, and release management.
- Improve monitoring, anomaly detection, and governance checkpoints for data pipelines and application performance.
- Define and track KPIs for system reliability, data accuracy, governance compliance, user adoption, and workflow throughput.
6. Cross-Functional Collaboration
- Serve as the liaison to Strategy, Finance, and more to translate business goals into technical requirements and deliver actionable insights.
- Partner on SaaS go-to-market and financial forecasting to enforce corporate metric definitions and ensure a single source of truth for key metrics.
- Ensure all systems and AI initiatives comply with regulatory standards and internal security protocols, driving governance awareness across the organization.
Qualifications & Experience
Required:
- 10+ years in leadership roles spanning enterprise applications, BI, data engineering, or operations technology.
- Proven track record driving AI/ML or advanced analytics initiatives in an enterprise setting.
- Expertise in data architecture, ETL/ELT, cloud data platforms (Snowflake, Azure Synapse, AWS Redshift).
- Hands-on experience with BI tools (Power BI, SSAS) and ML frameworks (TensorFlow, PyTorch, Azure ML).
- Strong program and project management discipline, with success delivering complex, cross-functional technology programs.
- Exceptional people leader: coaching, mentoring, and scaling high-impact engineering and analytics teams.
Preferred:
- Master’s or advanced certification in Data Science, AI, Computer Science, Data Governance, or related field.
- Experience with data science lifecycle management (MLOps), generative AI, and model governance.
- Background in SaaS business operations, subscription renewals, and financial analytics.
- Familiarity with Informatica, Tray.io, Salesforce APEX, and cloud-native DevOps practices.
Core Competencies
- Strategic & Innovative Mindset: Envisions and executes AI-enabled data strategies.
- Analytical & Technical Acumen: Deep understanding of modern data architectures and ML pipelines.
- Leadership & Communication: Influences and aligns stakeholders at all levels.
- Service-Oriented & Collaborative: Champions “we over me” servant-leadership.
- Operational Rigor: Delivers reliability, security, governance, and scalability in fast-paced environments.
Who we are:
Frontline Education is a pioneer of school administration software purpose-built for K-12 districts. We provide innovative, connected solutions for student and special programs, business operations, and human capital management with powerful data and analytics to empower educators and administrators. We earn the trust of K-12 leaders across the U.S. by serving as a consistently high-performing, forthright partner of school districts through every dimension of the company.
Perks of being a Frontliner:
Frontline offers a competitive compensation package including a base salary, rewarding bonus structure, 401k match, and personalized PTO! Our company’s growth has created a promising environment for career advancement and rewarding challenges. We offer a tuition reimbursement program for eligible college credit coursework available to employees depending on their status and length of employment.
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