Catalight · 1 day ago
Director, Data & Analytics
United States
Full-time
Remote
Director/Executive
$180K/yr - $240K/yr
10+ years expCatalight is seeking a talented Director of Data & Analytics with a passion for architecting and building modern data infrastructure. The role involves owning the data strategy, leading the development of data pipelines and products, and working closely with business stakeholders to deliver analytics solutions that meet business needs.
Health Care
No H1B
U.S. Citizen Only
Responsibilities
Cloud Platform Proficiency: Strong understanding and hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). This includes knowledge of cloud services like compute, storage, networking, and databases
Data Architecture and Modeling: Proficiency in designing and implementing scalable, high-performance data architectures. Strong understanding of data modeling techniques, including relational, dimensional, and NoSQL data models
Data Warehousing: Experience in building and managing data warehouses using technologies like Amazon Redshift, Google BigQuery, or Snowflake. Knowledge of optimizing data warehouse performance and cost management
Data Integration and ELT: Expertise in building Extract, Load, Transform (ELT) processes for ingesting and transforming data from various sources into a unified format
Big Data Technologies: Proficiency in big data technologies such as Hadoop ecosystem (HDFS, Hive, HBase), Apache Kafka, and Apache Flink. Ability to leverage these technologies for large-scale data processing and real-time analytics
Programming Skills: Strong programming skills in languages such as Python, Scala, or Java. Ability to write efficient, maintainable code for data processing, analytics, and automation tasks
Data Governance and Security: Prior experience in implementing data governance principles, data privacy regulations (e.g., HIPAA, GDPR, CCPA), and best practices for ensuring data security and compliance
Machine Learning and AI: Strong knowledge and deep experience in developing Machine Learning applications. Experience in MLOps and model lifecycle management & model governance in regulated industries like banking and healthcare
Experience in deploying LLM models for custom business use cases
Data Bricks Expertise: In-depth knowledge of Data Bricks, including data processing using Apache Spark, Delta Lake, Unity Catalog, and MLflow is a plus. Ability to design and implement scalable data pipelines and analytics solutions on the Data Bricks platform
Leadership and Team Management: Effective leadership skills to lead and mentor a team of data engineers, BI analysts, data scientists, data governance analysts, and AI/ML engineers. Ability to set clear goals, provide guidance, and foster collaboration within the team
Communication and Stakeholder Management: Strong communication skills to interact with cross-functional teams, senior management, and stakeholders. Ability to translate technical concepts into non-technical terms and influence decision-making
Problem-solving and Critical Thinking: Aptitude for identifying complex data engineering challenges and devising innovative solutions. Ability to think critically and make data-driven decisions to optimize processes and systems
Continuous Learning and Adaptability: Commitment to staying updated with the latest advancements in data engineering, cloud technologies, and industry trends. Willingness to adapt to evolving technologies and business requirements
Develop and implement quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements
Contribute to the development and education plans on data engineering capabilities, systems, standards, and processes
Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs
Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company
Qualification
Required
10 years of experience with modern data engineering projects and practices: designing, building, and deploying scalable data pipelines with 5+ years of experience deploying cloud-based data infrastructure solutions
Strong programming skills in Python, Java, or Scala, and their respective standard data processing libraries
3 years of experience building data pipelines for AI/ ML models using PySpark or Python
Experience building data pipelines with modern tools such as Data Bricks, Fivetran, dbt etc
Strong experience in establishing and maintaining relational databases, SQL, data warehouses, and ELT pipelines
Experience with Spark, Kafka, etc
Experienced integrating data from core platforms like EHR, CRM, and Claims Processing into a centralized warehouse and data lake
Extensive knowledge in statistical modeling, machine learning model development and data science
Software development best practices with strong rigor in high quality code development, automated testing, and other engineering best practices
Extensive knowledge of ELT and Data Warehousing concepts, strategies, and methodologies
Experience working with structured and unstructured data
Experience establishing real-time data pipelines and processing
Familiarity with Azure services like Azure functions, Azure Data Lake Store, Azure Cosmos, Azure Databricks, Azure Data Factory etc
Ability to provide solutions that are forward-thinking in data and analytics
Good combination of technical and interpersonal skills with strong written and verbal communication; detail-oriented with the ability to work independently
BSc in Computer Science, Engineering, Statistics, Informatics, Information Systems or another quantitative field
Sensitivity to working with an ethnically, linguistically, culturally, and economically diverse population
A commitment to the values of the organization while demonstrating good judgment, flexibility, patience and discretion when dealing with confidential and sensitive matters
Proficient in Microsoft Office (Outlook, Word, Excel, etc.), especially Excel and related computer software
Consistently demonstrate good judgment and decision-making skills while maintaining the highest level of confidentiality
Work in an exciting, fast paced high energy environment while effectively multitasking and managing day-to-day responsibilities without supervision
Personable; able to work comfortably with individuals at all levels within the organization
Excellent verbal and writing communication skills; frequent proofreading and checking documents for accuracy
Must be highly detail oriented
Strong interpersonal skills
Ability to obtain and maintain criminal record clearance through the Department of Justice (DOJ)
Ability to obtain and maintain clearance through the Office of Inspector General
Must attend any required training
Preferred
Masters degree in Computer Science or Engineering fields preferred
In-depth knowledge of Data Bricks, including data processing using Apache Spark, Delta Lake, Unity Catalog, and MLflow is a plus
Company
Catalight
Catalight breaks down barriers and biases to create a more equitable world so people with developmental disabilities can choose their path.
501-1000 employees
Funding
Current Stage
Late StageLeadership Team
Rodrigo Mahs
Executive Vice President, Growth and Innovation
Recent News
Behavioral Health Business
2025-12-29
Behavioral Health Business
2025-06-25
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