Manager, Data Management

Internova Travel Group•Remote,

8d•$92,260 - $161,455•Remote

About The Position

Internova Travel Group is one of the largest travel services companies in the world with a collection of leading brands delivering high-touch, personal travel expertise to leisure and corporate clients. Internova manages leisure, business and franchise firms through a portfolio of distinctive divisions. Internova represents more than 100,000 travel advisors in over 6,000 company-owned and affiliated locations predominantly in the United States, Canada and the United Kingdom, with a presence in more than 80 countries. As a Manager, Data Management, you will lead the architecture, design, delivery, and ongoing evolution of the company’s enterprise data platforms, with Master Data Management serving as an important part of a broader modern data strategy. You will also be responsible for leading development efforts, managing various projects and initiatives within the Data Management group using Big Data technologies and related platforms, and overseeing existing applications. You will also undertake a leadership role in the ownership and accountability of all data applications, databases, and services. In this position, you will be expected to build and manage robust solutions in Azure-based cloud deployments of Big Data platforms. As a Manager, Data Management, you will lead a team of in-house and outsourced Data Engineers and developers in architecture, requirements, analysis, design, development, deployment and systems integration activities.

Requirements

BA/BS or master’s degree in Computer Science, Information Systems, Engineering, or a related field
7+ years of progressive experience in data architecture, data engineering, big data platforms, data integration, MDM, or related disciplines
5+ years of experience designing and delivering cloud-based data solutions in Microsoft Azure or comparable cloud platforms
Strong experience designing modern enterprise data platforms, including data lakes, data lakehouses, delta lakes, scalable storage patterns, and distributed data processing frameworks
Hands-on experience with cloud data technologies such as Azure Data Lake Storage, Azure Databricks, Azure SQL Database, Azure Data Factory, Microsoft Fabric, Snowflake, or comparable services
Solid experience in Azure Function Apps, Azure Logic Apps, Azure Kubernetes Service (AKS), and Azure Databricks
Strong knowledge of data modeling, data architecture, ETL/ELT design, pipeline orchestration, and batch and streaming integration patterns
Experience with Spark-based processing, SQL, Python, or other modern data engineering tools and techniques used to build scalable cloud data platforms
Experience building and supporting integrations using APIs, event-driven or file-based data exchange, and operational-to-analytical data movement patterns
Working knowledge of Master Data Management concepts and platforms, including data quality, mastering, matching, survivorship, hierarchy management, and stewardship workflows
Experience with DevOps and delivery practices using tools such as Azure DevOps, Git repositories, CI/CD pipelines, and Agile delivery methods
Understanding of data governance, metadata, lineage, cataloging, quality controls, and security models such as Azure AD and role-based access
Proven ability to lead teams, manage multiple initiatives, define architecture direction, and drive delivery in complex enterprise environments
Excellent communication and stakeholder management skills, with the ability to translate complex technical concepts into clear business language
Self-starter with strong analytical and problem-solving skills and the ability to independently identify root causes, evaluate options, and implement scalable solutions

Nice To Haves

Experience in the travel industry
Experience with Master Data Management platforms such as Profisee or comparable tools
Microsoft Azure certifications such as Azure Data Engineer Associate, Azure Solutions Architect, or related cloud certifications
Experience with data governance and catalog tools such as Microsoft Purview
Familiarity with project and work management tools such as Jira, Confluence, and SharePoint
Experience managing offshore, remote, or hybrid delivery teams
Exposure to machine learning, advanced analytics, AI-enabled data capabilities, or real-time/event-driven data architectures is a plus

Responsibilities

Lead the architecture, implementation, support, and evolution of enterprise data platforms, including Master Data Management solutions and broader cloud-based data services
Own the technical direction for the MDM platform, including data models, integration patterns, survivorship rules, matching, workflow, stewardship, and data quality processes
Define and advance the long-term architecture for modern big data platforms, including data lakes, data lakehouses, delta lakes, scalable storage patterns, and cloud-native data processing frameworks
Provide leadership and guidance to data engineers and developers in architecture, design, development, deployment, platform operations, and production support activities
Design and oversee integrations between data platforms, operational systems, and analytical platforms using APIs, ETL/ELT pipelines, Azure Data Factory, Function Apps, Logic Apps, and related cloud services
Establish architecture standards and engineering best practices for enterprise data platforms, including ingestion, transformation, orchestration, storage, semantic modeling, observability, and security
Provide leadership and guidance to data engineers and developers in architecture, design, development, deployment, platform operations, and production support activities