Senior Manager of Data Management at Swinerton Builders in Santa Ana, California

Job Description:

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 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

Preferred Certifications

• ITIL (Information Technology Infrastructure Library)


• Six Sigma


• PMP (Project Management Professional)


• CSM (Certified Scrum Master)


• TOGAF 9 (The Open Group Architecture Framework)

SUMMARY OF BENEFITS

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.

Anticipated Job Application Deadline:
10/25/2024