Senior Data Analytics Transformation Manager / Transformation Lead

Senior Data and Analytics Platform Transformation Manager / Transformation Lead 

90% Remote (2 consecutive days per month per month on site in Newark, NJ)
NOTE: We cannot consider third party candidates for this role. Do not contact us about this position.

We are seeking an experienced Senior Data Analytics Transformation Manager / Transformation Lead to lead a major data and analytics platform modernization initiative for a healthcare organization. This role will help drive the transition from legacy analytics platforms and processes to a modern, scalable cloud-based analytics environment.

Candidates MUST have experience with SAS and Snowflake how they are used for Analytics and Reporting. The ideal candidate combines strong data and analytics transformation experience with hands-on program leadership. This individual must understand how analytics teams work today, identify opportunities to create more repeatable and scalable delivery practices, and translate modernization strategy into executable plans across business, analytics, data engineering, and technology teams.

Key Responsibilities:

• Lead data and analytics transformation initiatives focused on modernizing legacy analytics platforms, processes, and reporting capabilities.
• Develop and execute transformation roadmaps, migration strategies, milestones, dependencies, risks, and success measures.
• Help establish repeatable analytics development and delivery practices spanning requirements, data preparation, development, validation, deployment, and ongoing support.
• Partner with analytics and business teams to understand existing reporting, analytical workflows, and data needs and translate them into modernization priorities.
• Drive migration and modernization efforts involving SAS, Snowflake, and modern cloud-based data and analytics capabilities.
• Work closely with data engineering, analytics, architecture, governance, and business stakeholders to coordinate execution across multiple workstreams.
• Identify opportunities to modularize and standardize analytics capabilities, improve reuse, and reduce reliance on legacy processes and platforms.
• Facilitate working sessions, resolve delivery obstacles, manage risks and dependencies, and maintain momentum across the transformation.
• Provide clear communication to leadership regarding progress, accomplishments, risks, decisions, and recommended actions.
• Drive adoption of new analytics processes, platforms, and ways of working while maintaining focus on measurable business outcomes.

• 10+ years of experience leading data, analytics, technology, or enterprise transformation initiatives.
• Demonstrated experience leading large-scale analytics or data modernization programs.
• Strong experience with SAS and a solid understanding of how analysts use SAS for analytics, reporting, and data processing.
• Strong experience with Snowflake and modern cloud-based data and analytics environments.
• Proven ability to develop transformation roadmaps and translate strategy into actionable execution plans.
• Must have experience with Analytics Development Lifecycle (ADLC), Data Analytics Lifecycle, Analytics Delivery Lifecycle, or Data/Analytics Product Lifecycle. 
• Strong program management skills, including management of milestones, dependencies, risks, issues, and multiple workstreams.
• Ability to work effectively across business, analytics, data engineering, architecture, and technology teams.
• Strong executive communication, stakeholder management, facilitation, and influencing skills.
• Hands-on leadership style with the ability to operate at both the strategic and tactical levels.

• Healthcare payer or other healthcare industry experience strongly preferred.
• Experience modernizing large-scale legacy analytics and reporting environments.
• Familiarity with Data Products, modern data architecture, data governance, and analytics lifecycle concepts.
• Experience supporting organizational adoption of new data platforms, processes, and operating models.