Sr. Director-Head Of Data Engineering

Overview

PURPOSE STATEMENT:

Reporting to the Chief Data & Analytics Officer, this Sr Director, Head of Data Engineering is a hands-on engineering leader to lead execution of enterprise data strategy, implement operating model, and evangelize analytics innovation. This leader will collaborate closely across the IT leadership team and business stakeholders, cultivate data-driven culture, and deliver data insights for business value. This can be 100% remote.

Responsibilities

ESSENTIAL FUNCTIONS:

Enterprise Data Platform Functions

• Execute enterprise data platform strategy and roadmap with alignment to business objectives

• Modernize enterprise data platform into cloud data platform with industry best practices; optimize workflows with automation and standardization; harden platform with sufficient observability

• Design, development, and maintenance of data infrastructure, including data warehouses, data lakes, and data pipelines with modern technologies on cloud platform

• Manage data engineering platforms and technologies, including database systems, data orchestration tools, and data integration software

• Build fault tolerant and reliable data products with reusable data engineering processes

• Drive and achieve data platform stability and efficiency with automation and tightened cost control

• Lead the integration of data from internal and external sources, ensuring consistency and accuracy

• Ensure data security and privacy including data encryption, access controls, data masking and protection

• Help to establish and enforce data governance policies and procedures to ensure data quality, security, and compliance with relevant regulatory requirements

• Collaborate with business stakeholders to define key business questions and objectives that can be addressed through data analysis, drive solution adoption, and identify and prioritize data analytics needs that drive growth and innovation

• Delivery of data insights through compelling business intelligence, data visualizations, and reports for both technical and non-technical stakeholders

STANDARD EXPECTATIONS:

• Complies with organizational policies, procedures, performance improvement initiatives and maintains organizational and industry policies regarding confidentiality

• Communicate clearly and effectively to person(s) receiving services and their family members, guests, and other members of the health care team

• Develops constructive and cooperative working relationships with others and maintains them over time

• Encourages and builds mutual trust, respect, and cooperation among team members

• Maintains regular and predictable attendance

Qualifications

EDUCATION/EXPERIENCE/SKILL REQUIREMENTS:

• A bachelor's degree in a relevant field; a master's degree is preferred

• Strong ability to collaborate and learn, high degree of curiosity, default with can-do altitude

• 7+ years of experience in the technology field, focused on data and analytics technology solution design, implementation, and innovation; with at least 2 years of technology leadership

• Hands-on proficiency in data engineering tools and market trending technologies, including database systems (RDBMS and NoSQL, Snowflake is a must-have), ETL tools (dbt preferred), orchestration platforms (Airflow preferred), cloud-based data platforms (Azure - preferred, AWS or GCP) and associated infrastructure, and programing languages (Python preferred)

• Proven successful experience in modernization and optimization data platform into cloud environments; expert knowledge of Snowflake and Azure suite of products from data acquisition, data management and pipeline transformation to data consumption including visualization and API integrations

• Mastery in collaborating with business stakeholders to manage data analytics and visualization demand, strong ability to interpret and present data insights with business languages

• Excellent communication skills and ability to translate technical findings into actionable insights for business stakeholders

• Strategic and critical thinking ability to align data analytics initiatives with organizational goals

• Recruit, hire, train, and mentor a high-performing team of data scientists, analysts, machine learning engineers, and data engineers

• Assess and recommend data analytics tools, platforms, and external vendors as needed

• Good understanding of statistical analysis and AI/ML modeling techniques with hands-on proficiency in data analytics tools and programming languages (e.g., Python, SQL, R)

• Some experience in developing and storytelling of AI/ML models, business intelligence and visualizations from conception to MLOps and high adoption data products

• Experience working with Healthcare and Life Sciences organizations

SUPERVISORY REQUIREMENTS:

Manages a Department

While this job description is intended to be an accurate reflection of the requirements of the job, management reserves the right to add or remove duties from particular jobs when circumstances (e.g. emergencies, changes in workload, rush jobs or technological developments) dictate.