Remote Type: Fully Remote
Position Type Full Time
Education Level: Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field; Master’s degree preferred.
Travel Percentage: 0%
Job Shift: Day
Job Category: EdTech
Director of Data Engineering and Analytics
About Us
Mission: ISM is dedicated to the advancement of school management. We provide creative strategies by combining extensive research, proven management techniques, and personalized service.
Independent School Management (ISM) is a forward-thinking organization dedicated to leveraging data to drive business insights and create innovative products. We recently built a state-of-the-art data lakehouse using Databricks and are now seeking a dynamic and experienced Director of Data Engineering and Analytics to lead our team in building and maintaining our data infrastructure, developing data assets, and establishing a robust analytics practice.
Core Purpose: Advancing School Leadership—Enriching the Student Experience
Key Responsibilities:
Thought Leadership & Vision:
- Drive and effectively communicate the data management vision and plans, collaborating closely with the CIO/CTO.
- Collaborate with operational teams and C-level leaders in Marketing, Sales, Customer Support, Product, and Finance to build data capacity and maturity.
- Champion a comprehensive data management strategy, promoting data literacy and engineering excellence.
- Proactively provide analytics and insights to leaders that support their objectives.
Product Management:
- End-to-end ownership of the data engineering and business intelligence teams, including roadmap planning, prioritization, and promoting best practices.
- Develop and deploy operational and reporting solutions to help ISM grow and deepen engagement with internal stakeholders and customers.
- Act as a key strategic partner to identify and act on opportunities to deploy data analysis and reporting products that leverage our operational and customer data innovatively.
Mentor & Build Team:
- Mentor and develop a team of data engineers and data analysts, fostering a collaborative and innovative environment.
- Ensure the data engineering and analytics team members understand the vision and objectives of the organization and how their backlog and priorities support those objectives.
- Stay abreast of analytics, data analytics, and machine learning technology trends and industry best practices to hone and maintain talent.
- Encourage the team to take advantage of self-directed learning opportunities and be comfortable dealing with ambiguity.
- Delegate tasks and responsibilities to team members and hold them accountable for completing assignments by the deadline.
Working Manager (Hands-on Role):
- Lead cross-functional analytics projects working with senior business leaders on major initiatives.
- Manage project schedules, task details, and utilize project management tools effectively.
- Drive the development of data products, including pilots and proof of concepts, and execute data strategies.
- Demonstrate a bold commitment to the total alignment of actions, words, and professional beliefs, setting the “tone at the top.”
- Leverage your strategic planning and technical knowledge of data engineering tools and data architecture definition to improve the effectiveness of data pipelines.
- Work closely with data analysts to create and present data visualizations and communicate business insights and project goals.
- Assist in data science projects.
Refine & Operationalize Processes:
- Develop supporting budget and resource plans.
- Develop and implement tools, reporting improvements, and automation to create innovative and insightful reports.
- Implement best practices for data extraction, collection, transformation, and processing.
- Establish and enforce BI standards and architecture aligning with enterprise architecture.
- Advocate for technical investment features to maintain and run existing data assets and solutions in conjunction with developing new capabilities by articulating objective risks and impacts to business value.
- Ensure compliance with all relevant data privacy regulations.
- Continuously maintain and improve the data quality bar throughout the data lifecycle, addressing data governance and third-party data challenges.
- Establish data analytics best practices.
Qualifications:
- Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field; Master’s degree preferred.
- 10+ years of experience in Data Engineering and Analytics, including 5+ years of successful team management experience.
- Experience in setting up data organizations and leading development teams through re-platform or modernization efforts and working towards taking the team to a steady state.
- Experience with CICD data architectures, pipeline quality, and code management.
- Experience in data science, including predictive modeling.
- Experience with SQL and NoSQL databases.
- Experience with common data languages (e.g., Python, RUST, Scala) and data warehouses (e.g., Databricks). Extensive experience with big data architectures, data modeling, and data lake principles.
- Strong understanding of data governance principles and best practices.
- Experience with Agile methodologies and project management tools.
- Strong process orientation with effective organizational communication and presentation skills.
- Proficient in analytics and reporting with 5+ years of experience translating complex data into actionable business insights.
- Accomplished partner with business leaders, technology leaders, and senior executives, able to communicate concisely and clearly to audiences of varying technical levels.
To be successful, the ideal candidate:
- Operates with autonomy.
- Has a “bar-raiser” mentality, driven to motivate and lead technical talent and to provide direct candid feedback to employees.
- Thrives on the freedom and responsibility of working in a growth-minded business that trusts their employees.
- Takes ownership of features from start to finish and collaborates well with engineers and other cross-functional roles.
- Teaches, coaches, and mentors, being a force multiplier for the team.
- Familiar with our tools, including experience with SQL, Databricks, Python, JIRA, Salesforce, FiveTran, AWS, Tableau, and more.
Position Type/Expected Hours of Work
A professional at-home work environment is required for this remote position. This is a full-time position, Monday through Friday, 8:00 a.m. to 4:30 p.m. ET.
Travel
Little to no travel is expected for this position.
AAP/EEO Statement
ISM provides equal employment opportunities to all employees and applicants for employment without regard to race, color, ancestry, national origin, gender, sexual orientation, marital status, religion, age, disability, gender identity, results of genetic testing, or service in the military. Equal employment opportunity applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation, and training.
ISM expressly prohibits any form of unlawful employee harassment or discrimination based on any of the characteristics mentioned above. Improper interference with the ability of other employees to perform their expected job duties is not tolerated.
Other Duties
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
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