Manager, Data Aggregation – Distribution L2 Support

🕒 September 29

🌐 United Kingdom, Poland – Remote

🇬🇧 United Kingdom – Remote 🇵🇱 Poland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 17%

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Parexel

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1983

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 Venture Round on 1990-01

Consulting • Healthcare • Logistics

Parexel is one of the world's largest clinical research organizations (CROs), providing comprehensive services for the clinical development process from Phase I to IV. The company specializes in portfolio management, clinical trial management, regulatory strategy, market access, and lifecycle management for biopharmaceuticals. Parexel aims to speed life-changing medicines to market by leveraging its clinical, regulatory, and therapeutic expertise. With a global team of over 21,000 professionals, Parexel works to integrate patient insights and innovative trial designs to develop treatments across therapeutic areas such as oncology, neuroscience, rare diseases, and more. It focuses on delivering patient-centric and efficient clinical trials.

📋 Description

• Lead, manage, and develop a team of L2 data support specialists • Provide clear direction, coaching, performance oversight, and career development support • Conduct regular performance reviews for direct reports • Foster a collaborative, high-performance team environment • Manage resource allocation and workload distribution • Oversee triage, diagnosis, and resolution of data pipeline, ingestion, and distribution issues • Act as an escalation point for unresolved technical issues • Coordinate with platform data teams as needed • Monitor support queue performance and ensure timely resolution against agreed service levels • Maintain and enforce support procedures, runbooks, and escalation protocols • Collaborate with platform data teams, data engineering, analytics, and business functions to identify data service requirements and resolve recurring issues • Engage with vendors to support data delivery needs and manage service performance expectations • Provide status reporting on team activities, system performance, issue trends, and service quality metrics • Represent L2 support in cross-functional meetings and contribute to data platform planning • Identify improvements to data support operations, pipeline reliability, and team efficiency • Develop and maintain standard operating procedures and support documentation • Ensure adherence to IT procedures, quality standards, and data governance requirements • Evaluate and recommend tooling or process improvements across Azure, Databricks, Snowflake, Denodo, and Power BI environments

🎯 Requirements

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related technical field (or equivalent work experience) • Relevant cloud platform certifications, such as Microsoft Azure Data Engineer or Databricks Certified Associate, are an advantage • ITIL Foundation certification or equivalent service management qualification is beneficial • Experience with cloud data platforms including Azure, Databricks, Snowflake, and Denodo preferred • Working knowledge of Data Lake design principles • Experience with data pipeline monitoring, troubleshooting, and incident management • Familiarity with Power BI and data visualization tools • Experience with ITSM or ticketing platforms, such as ServiceNow • Knowledge of data governance and quality standards in enterprise environments • Familiarity with GxP or life sciences data environments is an advantage • Strong people management and team leadership capability • Effective verbal and written communication skills across technical and non-technical audiences • Analytical and structured problem-solving approach • Ability to manage competing priorities and maintain service levels under pressure • Stakeholder engagement and relationship management skills • Continuous improvement mindset with attention to operational detail • Collaborative working style with the ability to influence across functions • Strong previous demonstrated experience managing technical support or data operations teams, preferably in an enterprise or CRO environment • Hands-on experience with cloud data platforms, preferably Azure, Databricks, Snowflake, and Denodo • Proven experience supporting or operating within Medallion Architecture-based Data Lake environments • Experience managing L2 support functions including escalation management and SLA ownership • Track record of leading and developing teams of 10 or more technical staff • Experience working with internal and external stakeholders to deliver data services and resolve complex technical issues • Familiarity with data ingestion, engineering, and distribution workflows in large-scale enterprise ecosystems • Experience contributing to or implementing standard operating procedures and support documentation • Exposure to GxP or regulated life sciences data environments is desirable

🏖️ Benefits

• Structured career pathway and encouragement to develop within the role • Competitive base salary • Bonus • Car allowance • Holiday • Other leading benefits expected with a top company in the CRO industry

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