Manager, Data Science & Services

MOREgroup•Austin, TX

About The Position

MOREgroup is a family of architecture, design, and engineering brands that serve civic, education, and healthcare practice areas. The facilities we bring to life are places where communities are cared for, educated, protected, and connected. We are proud to contribute to a strong social infrastructure where generations thrive. Our beliefs are rooted in the concept of more. We believe the best outcomes happen when we are more connected to the work we do and to the people we serve. For us, more is about going beyond expectation to find meaningful connections and experiences that create greater impact for communities. It is about the power to innovate and the passion to serve. What we do matters, but how we do it matters more. Some of the things you can expect working at MOREgroup� Contributing to a passionate and energetic team within a growing company. Training and professional development to support career growth with exposure to a variety of areas and industries. MORE opportunities to impact the communities we collectively serve. We are seeking a skilled and motivated data professional with a strong background in data science, data engineering, data integration, and data warehousing. This role will be responsible for designing, building, and maintaining scalable data pipelines and analytics solutions that enable data-driven decision-making across the organization. The ideal candidate brings hands-on experience with modern cloud data platforms and integration tools and is comfortable working across the full data lifecycle�from ingestion and transformation to analytics and optimization.

Requirements

Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field preferred, with 3+ years of professional experience in data engineering, data integration, data science, or data warehousing.
Advanced experience with modern data platform, such as Snowflake, Databricks, Amazon Redshift, or Microsoft Azure Synapse Analytics.
Strong experience with data integration and ETL/ELT tools, such as Informatica, Boomi, Talend, Amazon Glue, Microsoft Fabric, or SSIS.
Proficiency in programming language commonly used for data and analytics, including Python, R, Julia, Scala, or SAS.
Strong SQL skills and experience working with large, complex datasets and relational databases, including Oracle, Microsoft SQL Server, MariaDB, MySQL, or PostgreSQL.
Experience with cloud-based data ecosystems, modern data architectures, data modeling, dimensional modeling, and analytics best practices.
Demonstrated experience leading and coordinating offshore data teams, including data engineers, analysts, and administrators across multiple time zones.
Strong analytical and problem-solving skills, with the ability to manage projects independently while collaborating effectively across teams.
Excellent communication skills, with the ability to translate complex technical concepts into clear, actionable information for non-technical stakeholders.

Responsibilities

Design, develop, and maintain scalable data pipelines and architectures that support business reporting, analytics, and operational needs.
Build and optimize data warehouses and analytical data models to enable accurate, accessible, and actionable insights.
Integrate data from internal and external sources using APIs, flat files, database connections, and modern ETL/ELT tools and methodologies.
Partner with business stakeholders, analysts, and technology teams to understand data needs and translate requirements into effective technical solutions.
Evaluate and recommend business intelligence, analytics, and data solutions that align with organizational needs and long-term technology strategy.
Ensure data is accurate, consistent, secure, reliable, and performant across platforms and systems.
Develop and maintain data solutions that support reporting, business intelligence, data science, and advanced analytics initiatives.
Build and maintain a hybrid data and analytics environment that supports immediate business needs while advancing the organization’s adoption of modern AI and machine learning capabilities.
Monitor, troubleshoot, and optimize data pipelines, integrations, and system performance to ensure reliable data delivery.
Apply sound technical judgment when selecting data integration approaches, balancing speed to delivery, scalability, maintainability, and long-term modernization.
Establish and maintain data architecture, pipeline, integration, and development standards and documentation.
Lead and manage offshore teams of developers, analysts, engineers, and administrators to support data and analytics initiatives.
Oversee data and analytics projects from solution design and development through implementation and delivery.
Define and execute an operational strategy that effectively supports MOREgroup’s diverse data audiences, including business users, technology and digital teams, shadow technology teams, and external partners.
Identify opportunities to improve data processes, reduce reliance on shadow technology solutions, and create more consistent and scalable enterprise data capabilities.