Manager, Data Management

Overview

 

 

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.  Click here for more information about Internova Travel Group.

 

Responsibilities

 

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.  

 

• 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

 

Qualifications

 

• 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

 

Desired but not required

• 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

 

 

Pay and Benefits

Our benefit offerings include medical insurance, meal tickets, transportation allowance, paid time off, discounted employee travel options, access to LinkedIn Learning webinars and courses.

 

The salary range on this job posting/advertising has been developed to give applicants a range based on the local market where the candidate would be working.  Many factors, such as years of experience, budget etc. are considered when determining the starting rate of pay. 

 

This role may be eligible for an incentive, commission, bonus, or a discretionary bonus program based on the company’s financial goal achievement and individual performance.

 

Internova Travel Group is an Equal Opportunity Employer. We make employment decisions without regard to age, race, religion, national origin, gender, disability, veteran status, genetic information, sexual orientation and gender identity or any other protected class.

 

 

 

Prospective Employee Privacy Policy

 

 

#MVD