Director of Data Management & Analytics

Elan Partners; Dallas (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

A leading data management firm is looking for a Director of Data Management & Analytics in Dallas, TX. This crucial position involves shaping and executing enterprise data strategies, enhancing data architecture, and leading a talented team. Candidates should have over 7 years of experience in data solutions within sectors like e-commerce and retail, and possess strong skills in SQL, Microsoft Azure, and project management. This role offers a hybrid work model with competitive compensation.

Qualifications

• Minimum 7+ years of experience in data architecture and managing data initiatives.
• Exceptional analytical mindset and problem-solving skills.
• Hands-on experience building scalable data solutions.

Responsibilities

• Define and execute data management strategies aligned with business priorities.
• Lead a team of database engineers and analytics professionals.
• Oversee data analysis initiatives to uncover trends and insights.

Skills

Data architecture expertise

Analytical mindset

SQL development

Microsoft Azure management

Project management

Technical writing

Communication skills

Interpersonal skills

Education

Bachelor's degree in Computer Science or related field

Master's degree preferred

Tools

Azure Synapse Analytics

Power BI

Job description

Title: Director of Data Management & Analytics (Onsite 4 days, N. Dallas Area)

Direct Hire Opportunity

No Sponsorship

Hybrid - 4 days onsite, 1 day remote

We are seeking an experienced Director of Data Management and Analytics to shape and execute the organization's enterprise data strategy. As a recognized expert in data architecture, this leader will bridge business objectives with technical solutions, delivering actionable insights, robust data architectures, and scalable analytics capabilities. The role requires strong partnership with stakeholders, proactive anticipation of needs, and hands-on leadership to guide solution delivery from concept through production support.

Requirements:

• Minimum 7+ years of progressive experience in data architecture, solution development, and leading IT/data initiatives within consumer products, e-commerce, retail, or comparable industries.
• Proven track record designing and delivering data management and analytics solutions in e-commerce, retail, sales, finance/accounting, and/or supply chain/warehousing environments.
• Exceptional analytical mindset with strong problem-solving skills; detail-oriented yet capable of maintaining strategic perspective. Adept at probing beyond surface-level requests to uncover true business needs.
• Deep expertise in data warehouse architecture (dimensional modeling, star/snowflake schemas) and data mining techniques.
• Hands-on experience as a SQL developer, data engineer, or data scientist building scalable solutions.
• Strong background architecting cloud-based data platforms (PaaS/SaaS), with emphasis on compute, storage, integration patterns, and connectivity.
• Demonstrated success designing and managing Microsoft Azure analytics ecosystems, particularly Azure Synapse Analytics, Microsoft Fabric, and related services.
• Solid understanding of software development lifecycle (SDLC), IT service management (ITSM), data privacy, and security principles.
• Effective project management skills with experience leading cross-functional initiatives.
• Outstanding technical writing and documentation abilities.
• Broad application development experience covering full lifecycle: requirements, design, build, test, deploy, and sustainment—including creation and upkeep of supporting documentation.
• Superior verbal and written communication skills; ability to adapt style and level of detail for executives, technical teams, and business users.
• Strong interpersonal and relationship-building capabilities.
• Proven capacity to juggle multiple priorities in a fast-paced environment.
• Self-directed with excellent follow-through and ability to execute against defined objectives.
• Meticulous attention to detail combined with a collaborative, team-first leadership approach.
• Bachelor's degree in Computer Science, Data Analytics, Information Systems, Business, or a closely related field and/or equivalent experience may be considered (Master's preferred, but not required).

Responsibilities:

• Define and execute comprehensive data management and governance strategies aligned with business priorities.
• Own the intake, prioritization, and lifecycle management of data and analytics requests from across the organization, ensuring timely delivery and clear stakeholder communication.
• Build, lead, and mentor a high-performing team of database engineers, Power BI developers, and analytics professionals.
• Utilize advanced data modeling techniques, AI/ML tools, and modern analytics platforms to unlock value from data.
• Establish and enforce standards for data quality, integrity, consistency, and accuracy.
• Oversee data storage architecture, access patterns, retrieval performance, and lifecycle management.
• Drive in-depth data analysis initiatives—working with large, complex datasets to uncover trends, patterns, and insights that inform strategic and operational decisions.
• Develop and manage budgets for personnel, tools, cloud resources, and related initiatives.
• Lead requirements gathering, solution design, unit/integration testing, issue resolution, and go-live support.
• Champion knowledge transfer, best practices, and reusable assets to accelerate delivery of data products and services that support company goals.
• Provide coaching, professional development, and performance guidance to direct reports.
• Maintain complete, up-to-date documentation for data warehouse processes, ETL pipelines, data models, and operational procedures.
• Design and automate operational dashboards, recurring reports, and self-service analytics capabilities.
• Collaborate cross-functionally to ideate, design, and implement innovative data handling approaches, platforms, and analytics solutions.
• Develop compelling data visualizations and storytelling presentations to communicate insights and recommendations to leadership and business partners.
• Translate complex findings and project objectives into clear, audience-appropriate communications.