Job Description Summary: Create and optimize the Company's data models and data architecture and lead data management and governance programs.
Job Description:
POSITION RESPONSIBILITIES AND DUTIES
Strategic Leadership
Develop and implement data strategies aligned with company objectives, you will be a thought leader on how to design, implement, manage, and scale our data platform leveraging modern data architecture and technologies.
Build relationships throughout the company and industry that will assist with understanding business needs and goals.
Collaborate with stakeholders to ensure data architecture supports organizational growth and innovation.
Stay current with emerging technologies and industry trends and evaluate their potential applicability to improve our data platform.
Ability to think outside of the box and provide innovative solutions to simplify data analytics ecosystem.
Develop and oversee standards for data governance and data quality initiatives.
Establish and lead a data governance program to ensure data accuracy, integrity, and security across the organization.
Provide regular updates to senior management on data initiatives, performance metrics, and strategic recommendations.
Lead development of plans, roadmaps, schedules, and budgets for build out and maturation of the data platform.
Data Engineering
Actively analyze and organize raw data, preparing it for descriptive modeling
Integrate raw data from various sources and identify ways to enhance data quality and reliability
Develop and maintain scalable data pipelines, and build new API integrations to support growing data volume and complexity
Translate business needs into data models that support long-term solutions
Create logical and physical data models using best practices to ensure high data quality and minimize redundancy
Establish best practices for standard naming conventions and coding practices to ensure consistency across data models
Data Management and Architecture
Design, install, test, and maintain robust data management systems
Directly operate a data warehouse environment, including data design, database architecture, and a metadata repository
Define and create detailed documentation for data architecture standards
Collaborate with all business units and other groups in Business Technology to develop a comprehensive long-term data architecture strategy
Support the data visualization engineers with formatted data, ensuring quality assurance and control of data models
Work closely with our integrations team to understand and improve the current data architecture, data pipelines, and data security
Data Governance
Establish and lead a comprehensive data governance program
Develop and implement policies and procedures to ensure data accuracy, consistency, and security
Oversee data quality initiatives to maintain high standards for data integrity
Data Management Team Building
Define and develop roles essential for supporting the data management program, and recruit top talent to fill these positions
Coach, train, and mentor developers and engineers on the data team, fostering their professional growth
Manage and oversee consultants and contractors supporting the data management program, ensuring their work aligns with organizational goals
KPI Development and Analysis
Define and track key performance indicators (KPIs) to measure the success of data initiatives
Present findings and recommendations to senior leadership
Contract Management and Vendor Relationships
Oversee contract renewals and ensure favorable terms and condition
Manage relationships with vendors, ensuring effective communication and collaboration
Evaluate vendor performance and hold them accountable to service level agreements (SLAs)
Complete other responsibilities as assigned
MINIMUM SKILLS AND EXPERIENCE
A bachelor's or master's degree in computer science, statistics, applied mathematics, data management, information systems, or a related quantitative field (or equivalent work experience)
Minimum of 8 years of experience in data management disciplines, including data integration and data modeling
At least 8 years of experience with cloud data warehouses (e.g., AWS Redshift, DBX SQL) and a strong aptitude for learning new tools
Proven experience in establishing a modern data infrastructure that supports predictive analytics, machine learning (ML), and artificial intelligence (AI)
Deep expertise in modern data architecture practices, patterns, and standards
Demonstrated expertise in setting up data governance programs and data quality initiatives
Strong proficiency in SQL or Python, with a background in building data models
Experience processing and integrating large volumes of structured and unstructured data from multiple sources
Proven expertise in data cleaning and wrangling, utilizing the most efficient tools and applications for these tasks
Demonstrated ability to design, build, and manage data pipelines, encompassing data transformation, data models, schemas, metadata, and workload management
Extensive knowledge of BI tools, including Microsoft PowerBI and Tableau
Excellent problem-solving, interpersonal, time management, and organizational skills
Strong communication skills with senior leadership
Proven experience in leading a team
Construction experience preferred but not required
This role is eligible for the following benefits: medical, dental, vision, 401(k) with company matching, Employee Stock Ownership Program (ESOP), individual stock ownership, paid vacation, paid sick leave, paid holidays, bereavement leave, employee assistance program, pre-tax flexible spending accounts, basic term life insurance and AD&D, business travel accident insurance, short and long term disability, financial wellness coaching, educational assistance, Care.com membership, ClassPass fitness membership, and DashPass delivery membership. Voluntary benefits include additional term life insurance, long term care insurance, critical illness and accidental injury insurance, pet insurance, legal plan, identity theft protection, and other voluntary benefit options.
