Overview:
The Sr. Manager of Data and Analytics at Nexpring will lead the design, development, and delivery of enterprise-wide data solutions that drive strategic decision-making and operational efficiency. This role will be pivotal in scaling Nexpring’s data capabilities across functions, with a strong emphasis on collaboration and orchestration of internal teams and external third-party delivery partners.  The ideal candidate will bring a strong blend of technical expertise, business acumen, and leadership experience to scale our data capabilities.

 Job Responsibilities:
·       Lead the development and execution of Nexpring’s enterprise data strategy, including data architecture, governance, and analytics enablement.
·       Manage a hybrid team of internal professionals and external vendors or consulting partners to deliver scalable and high-impact data initiatives.
·       Oversee the implementation of optimization of data platforms (e.g., Azure Synapse, Snowflake, PowerBI).
·       Collaborate with business stakeholders to identify KPIs, reporting needs, and advanced analytics use cases.
·       Translate business objectives into actionable data strategies.
·       Partner with IT, Finance, Commercial and Operations teams to integrate data into core business processes.
·       Develop and maintain data pipelines, ETL processes and data models to support real-time and batch analytics.
·       Monitor performance metrics and continuously improve data delivery and reporting workflows.
·       Lead enterprise data governance and master data management by defining ownership, ensuring data quality, and aligning data standards with business strategy.
·       Drive enterprise integration strategy by leveraging iPaaS solutions to streamline data flows, enable real-time connectivity, and ensure scalable, secure integration across cloud and on-premise systems.
·       Ensure Data quality, integrity, and compliance with regulatory requirements (e.g., HIPPA, GDPR).
·       Drive the adoption of self-service analytics and data literacy across the organization.

Minimum Education/Job Experience:
·       Bachelor’s or Master’s degree in data science, Computer Science, Information Systems, or related field.
·       8+ years of experience in data and analytics roles, with at least 5 years in a leadership capacity.
·       Microsoft certified: Azure Data Engineer Associate or equivalent.
·       Certified Analytics Professional (CAP) or similar.
·       PMP or SAFe certification is a plus.

Minimum Job Skills/Qualifications:
·       Proven experience with modern data platforms (e.g. Azure, AWS, Snowflake), BI tools (e.g., PowerBI, Tableau), and data modeling techniques.
·       Strong understanding of data governance, master data management, and data privacy regulations.
·       Experience leading cross-functional data initiatives in a global organization.
·       Experience leading a team of both in-house and external resources (e.g. consulting or managed services).
·       Excellent communication and stakeholder engagement skills.