Director of Data Engineering & Analytics

Director of Data Engineering & Analytics

Water Tower IT - McAllen, TX 78504

The Director of Data Engineering & Analytics will define and execute the enterprise data strategy across the Bank. This position will lead the implementation of Microsoft Azure services (laaS and PaaS), M365 integrations, MS Azure DevOps integrations, APIs to other cloud vendor platforms as the unified data platform and oversees data migration from legacy core banking systems into Microsoft ecosystems. This role will also focus on building internal data capabilities, establishing governance frameworks, and empowering business leaders with actionable insights.

The duties listed below may not include all responsibilities that the person in this role may be asked to perform. Incumbent may be required to perform other related duties as assigned.

To oversee and direct projects to completion, ensuring goals are met, resources are utilized efficiently, and stakeholders are satisfied.

Partnering with senior IT leadership, evangelize data analytics and insights, getting buy in and building the data analytics and insights function.

Collaborates with cross-functional teams to identify analytics needs and provide support for data-related projects

Oversee the design and implementation of data governance frameworks to ensure data integrity and compliance

Utilize and implement advanced analytics techniques such as GenAI (CoPilot, OpenAI) and machine learning to uncover trends and insights

Develop and implement data analytics strategies that align with business objectives

Leading the enterprise roll out of Microsoft Azure, MS Fabric, Azure DevOps, and other cloud services

Managing end-to-end migrations to Azure, Power BI, and other cloud services

Manage Total Cost of Ownership (TCO) for the Bank by managing licensing costs and maintaining Vendor relationships

Building and mentoring a high-performance team of data professionals

Establishing data governance, security, and advanced analytics

Driving a data-first mindset throughout the Bank

Manages the hiring, daily activities, coaching, evaluating and counseling of reporting staff

Maintains current knowledge of internal risk controls and loss prevention, including reporting of suspicious or unusual customer activity per Bank policy, and, if supervisor, ensures adherence by the respective department personnel

Maintains current knowledge and complies with all federal and state laws and regulations and all established Bank policies and procedures, including internal audit controls related to department operations, and, if supervisor, ensures adherence by the respective department personnel

Maintains current knowledge of all rules, regulations, and laws as they apply to BSA/OFAC/USA Patriot Act/CIP/AML, and, if supervisor, ensures adherence by the respective department personnel

Qualifications

These specifications are general guidelines based on the minimum experience normally considered essential to the satisfactory performance of this position. The requirements listed below are representative of the knowledge, skill and/or ability required to perform the position in a satisfactory manner. Individual abilities may result in some deviation from these guidelines.

A self-starting team player who possesses a bachelor's degree in Information Technology, Engineering Technology, Computer Information Technology, or related field

Minimum of 10 years of technical experience directing data analytics teams (Enterprise Data Architecture, Data Analytics, Data Governance, ALM Teams, Release Management, Support Functions) within a hybrid cloud environment

Minimum of 5 years in banking experience

Background in large scale migrations, hybrid cloud, and application modernization projects

Experience with regulated or complex environments

Familiarity with ITIL, Agile, and modern delivery frameworks

Proven experience delivering enterprise Azure solutions in an IT and Business-facing capacity

Strong understanding of core Azure services and architecture patterns across Compute, networking, identity, storage, containers, and automation

Knowledgeable with Infrastructure as code (ARM, Bicep, Terraform), DevOps pipelines, and CI/CD practices

Strong understanding of Gen AI principles (Microsoft CoPilot), large language models (LLM) and their applications in analytics

Strong knowledge of security, governance, identity (Entra ID), and compliance considerations for Azure

Microsoft Cloud certifications

Flexibility, professionalism, ability to work in a highly stressful environment

Good organizational, interpersonal and communication skills

Ability to travel occasionally

Bilingual in English and Spanish is desired.