Zayo Group · 4 days ago
Head of Data, M&A Data Migration
United States
Full-time
Remote
Director/Executive
$200K/yr - $235K/yr
12+ years expZayo Group is a leading provider of mission-critical bandwidth, serving impactful companies with extensive communication infrastructure solutions. The Head of Data, M&A Data Migration is responsible for leading data migration activities related to mergers and acquisitions, ensuring data integrity and compliance while collaborating with cross-functional teams to develop effective data strategies and architectures.
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Responsibilities
Define and own the enterprise data migration strategy for all M&A initiatives
Serve as the data migration authority during post-deal integration/separation (both pre- and post-close)
Identify cost-effective data platforms, tools, and processes to support data migration including confidential clean-room procedures
Collaborate with senior leadership, integration teams, and technology leads to align on goals and priorities
Build, lead, and mentor a high-performing data migration team (internal and/or third-party) and in-time, assuming leadership for a high-performing data engineering team. This includes hiring and retaining top talent, setting performance expectations, conducting regular assessments, and fostering a collaborative and innovative work environment
Provide strategic direction and leadership for the data engineering department, aligning it with the organization's goals and objectives; this involves setting the vision, defining the roadmap, and adjusting priorities
Develop and maintain detailed data migration plans, timelines, and dependencies. Establish contingency and rollback plans to ensure minimal disruption
Conduct pre-migration assessments, data audits, and mapping exercises including validating data dictionaries and mapping master data
Provide tools, accelerators, and best practices for data validation, reconciliation, and quality assurance processes
Assess and scope Day-1 consolidated reporting requirements and other reporting / analytic requirements for post-close
Ongoing, oversee the development, implementation, and maintenance of data pipelines to facilitate the collection, transformation, and loading of data from various sources into data warehouses or other data storage systems. This includes ensuring data quality, reliability, and timeliness
Ensure all migrations comply with data privacy regulations (e.g., GDPR, CCPA)
Implement robust data governance, access controls, and audit trails
Identify and mitigate risks related to data loss, corruption, or compliance breaches
Serve as the primary point of contact for data migration in M&A projects
Provide regular status updates and reporting to executive stakeholders
Partner closely with IT, Legal, HR, Finance, and Operations to understand business needs
Collaborate with cross-functional teams, such as data scientists, analysts, and business leaders, to understand their data needs and provide them with reliable and accessible data for analysis and decision-making; this includes facilitating promoting data literacy across the organization
Stay up-to-date with emerging trends, tools, and technologies in the data engineering field. Evaluate new technologies and approaches to drive innovation, improve data engineering processes, and enhance overall data capabilities within the organization
Monitor and optimizing data engineering processes, systems, and infrastructure to ensure high performance, scalability, and cost-efficiency
Engage with external vendors, consultants, and partners to leverage their expertise, assess their solutions, and manage relationships to support data engineering initiatives
Qualification
Required
Minimum of twelve (12) years Enterprise Data Technology, Platform and Governance experience
Minimum of ten (10) years Leading large data / technical team – Data Engineering, Data Analysts, Solution Architects, ML/AI Engineers, Data Scientists, Data Business Intelligence
Minimum of five (5) years of M&A integration experience, preferably with multiple end-to-end data migration projects
BS in Computer Science, Engineering or equivalent experience. Advanced degree (MS, MBA) desirable
Hands-on Experience visioning, building and running Enterprise Data & AI platforms at Scale (10+ Petabytes)
Extensive knowledge and experience with cutting edge Data, Analytics, Data Science, ML and AI
Familiarity with Azure suite of products – Azure Data Factory, Azure Blob Storage, Azure SQL Database, and PowerBI
Advanced to Expert experience in Snowflake
Strong working knowledge of industry leading Business Intelligence platforms (PowerBI, Tableau, Sigma, Looker, etc)
Advanced working knowledge of all major cloud platforms Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). Understanding how to leverage cloud services for data storage, data processing, and scalability is essential along with enabling and operating in a multi-cloud environments
Expert knowledge and implementation of Data Governance and Quality principles and frameworks
Strong working knowledge of industry leading Data Governance and Inventory tools (e.g., Global IDs, Collibra)
Programming Languages: Proficiency in programming languages such as Python, SQL, and Scala is essential for data engineering
Data Warehousing: Understanding data warehousing concepts, including data modeling, dimensional modeling, and ETL (Extract, Transform, Load) processes, is crucial. Familiarity with data warehousing tools like Snowflake, dbt, Apache Spark
Database Systems: Proficiency in working with relational database systems like MySQL, PostgreSQL, or Oracle is necessary
Data Integration: Experience with data integration techniques and tools is important for combining data from multiple sources. Familiarity with tools like Apache Kafka, Apache Nifi, or cloud-based integration services helps in building robust and efficient data pipelines
Data Pipelines and Workflow Management: Experience in building and managing data pipelines using workflow management tools like Apache Airflow
Data Security: Understanding data security principles and practices is crucial for protecting sensitive data and ensuring compliance with data privacy regulations. Knowledge of encryption techniques, access controls, and data masking methods are also valuable
Problem-solving and Analytical Thinking: Strong problem-solving skills and analytical thinking are essential for troubleshooting issues, optimizing data processes, and developing efficient solutions
Preferred
Prior working knowledge of Salesforce, ServiceNow and Oracle Financials
Benefits
Excellent Health, Dental & Vision Insurance
Retirement 401(k) Savings Plan
Generous paid time off policy including paid parental leave
Company
Zayo Group
For over 15 years, Zayo has been the driving force behind the world's most dynamic and forward-thinking enterprises, helping them pave the way to what's next.
1001-5000 employees
H1B Sponsorship
Zayo Group has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (12)
2024 (3)
2023 (7)
2022 (4)
2021 (6)
2020 (2)
Funding
Current Stage
Late StageLeadership Team
Laura Littman
Chief of Staff to the CEO
Steve Smith
CEO
Recent News
Morningstar
2024-04-19
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