What are the responsibilities and job description for the Senior Manager of Data Management position at Dutch Bros.?

It's fun to work in a company where people truly believe in what they are doing. At Dutch Bros Coffee, we are more than just a coffee company. We are a fun-loving, mind-blowing company that makes a difference one cup at a time.

Position Overview :

The Senior Manager of Data Management will lead and drive the successful implementation of data management initiatives across our organization. This role will focus on developing and executing data management strategies, overseeing data governance, and ensuring seamless data integration across various systems. The ideal candidate will have extensive experience in data management, project delivery, and team leadership.

Job Qualifications :

Bachelor's degree in Computer Science, Information Technology, or a related field required; Master's degree preferred.
10 years of experience in data management, including 2-3 years in a leadership role.
Extensive hands-on experience with Snowflake, Databricks, and cloud platforms (AWS, Azure).
Certified Data Management Professional (CDMP) certification preferred.
Data Governance : Proven track record in implementing data governance frameworks, quality management, and data architecture solutions. Experienced in developing and enforcing governance policies.
Data Architecture : Expertise in designing data solutions using Snowflake, Databricks, and cloud platforms (AWS : S3, Redshift, Glue; Azure : Data Factory, Synapse Analytics).
Data Integration : Hands-on experience with ETL / ELT processes and real-time data integrations (Kafka or similar).
DataOps & DevOps : Knowledge of CI / CD pipelines, automated testing, and cloud-native data services for streamlined operations.
Cloud Platforms : Strong knowledge of AWS and Azure services, including Lambda, EC2, Data Lake Storage, and Event Hubs.
Data Modeling & Warehousing : Advanced data modeling skills (e.g., dimensional modeling, data vault) and expertise in real-time / streaming architectures.
Programming : Proficient in SQL, Python, and Scala for data engineering and solution development.
Data Quality & Compliance : Familiar with data protection regulations and industry standards related to data privacy and security.
Leadership : Demonstrated experience in leading cross-functional teams, fostering collaboration, and driving continuous improvement in data practices.
Analytical Skills : Ability to analyze complex datasets to derive insights and support strategic decision-making.
Communication : Excellent communication skills to engage both technical and non-technical stakeholders.
Agile project management certification (Scrum Master, PMP) is a plus.
Experience with regulatory compliance (e.g., GDPR, CCPA).

Location Requirement :

This role is located in the Greater Phoenix area. This position is required to be in office 4 days per week (Mon-Thurs); Fridays are optional remote work days.

Skills

Technical Knowledge in Snowflake, Databricks, Master data management

Project Management Systems

Data Governance framework and data governance tools

Data Security and Compliance

Communication

Data Tools

Analytical Thinking

Leadership

Problem-Solving

Key Result Areas (KRAs) :

Leadership and Strategy : Lead and manage a team of data professionals (onshore, offshore, vendor partners) to deliver high-quality data management solutions that align with business objectives.

Data Management Strategy : Implement comprehensive data management strategies that include data governance, data quality, and data architecture.

Data Governance and Compliance : Oversee the execution of data governance policies and ensure compliance with data protection regulations (e.g., GDPR, CCPA) and industry standards.

Data Architecture : Collaborate and implement robust data architecture solutions using platforms such as Snowflake, Databricks, and cloud services (AWS, Azure). Optimize the architecture for performance, scalability, and cost-effectiveness.

Data Integration and Quality : Collaborate and lead data integration initiatives, ensuring a seamless flow of data across various systems. Establish data quality management, metadata management, and data lineage practices.

DataOps and Automation : Implement and maintain DataOps practices, including CI / CD pipelines for data solutions and automated testing to ensure continuous delivery and integration for data platforms.

Project Management : Manage project budgets, timelines, and resources effectively, while providing regular updates to senior management on project progress and key metrics.

Stakeholder Collaboration : Collaborate with cross-functional teams and stakeholders to understand data requirements, identify opportunities for data optimization, and deliver solutions that drive business value.

Team Development : Provide leadership and mentorship to a high-performing team of data engineers, fostering skill development and growth.

Continuous Improvement : Drive the continuous improvement of data management practices, processes, and tools to meet the evolving needs of the business.

Success Criteria :

Data Governance and Quality : Partnering / leading with a data governance leader with measurable improvements in data quality and governance.

Data Integration Efficiency : Improving data integration processes, reducing manual intervention, and increasing automation by 30% within the first year.

Team Development : Building a high-performing data management team, with low turnover and improved capabilities.

Project Delivery : Successful delivery of key projects within scope, on time, and within budget.

Compliance and Security : Achieving 100% compliance with data protection regulations and maintaining zero security breaches.

Innovation : Introducing new technologies and methodologies to enhance data management capabilities, contributing to the organization's strategic goals.

Business Impact : Delivering measurable business value through data initiatives, enabling new revenue opportunities and operational efficiencies.

Scalability : Designing and implementing data solutions that can handle 3x data growth without impacting performance.

Physical Requirements

In-Office Environment : Must be able to work in a busy, crowded, and loud office with frequent distractions and interruptions

Must be able to collaborate in-person with occasional impromptu in-person meetings

Office Conditions : Adaptability to typical office conditions, which may include exposure to air conditioning, heating, artificial lighting, and varying noise levels

Mobility : Ability to sit, stand, reach, twist, stretch, and work at a desk for long stretches. Must be able to occasionally move or lift office items up to 25 pounds

Hearing Requirements : Hearing must be sufficient or correctable to ensure clear understanding of spoken information, including participating in virtual meetings and phone calls. Use of hearing aids or other assistive devices is acceptable if needed.

Reading and Writing Proficiency : Ability to read and write in English is essential for processing documents, drafting reports, and following up on necessary actions. Proficiency in written communication is required to handle job-related tasks effectively.

Vision Requirements : Vision must be adequate or correctable to perform essential job duties, such as reading documents on a computer screen and using other visual tools. Use of corrective lenses or other measures to meet visual requirements is expected if needed.

Technology Proficiency : Must be proficient in operating a computer and other office productivity tools such as printers, scanners, and collaboration software.

Effective Communication : Must possess strong verbal and written communication skills to interact effectively with team members, clients, and other stakeholders via email, video conferencing, and other in office communication tools.

Compensation :

Depends on experience

If you like wild growth and working in a unique and fun environment, surrounded by positive community, you'll enjoy your career with us!

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