Senior Manager of Data Management

Compensation Range:

$170,000.00 - $190,000.00 Annual Salary

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 i