VP, Senior Business Data Analyst - Cloud Data Migration

3M HEALTHCARE; Charlotte (NC); Hybrid; USD 135,000 - 230,000; Full time

Job summary

3M HEALTHCARE is seeking a VP, Senior Business Data Analyst - Cloud Data Migration to lead the end-to-end migration of the D&A data ecosystem to the cloud. You will design data models, align stakeholders, and translate complex insights into a practical migration roadmap while protecting end-user experience.

You will drive analytics, metrics, and automated dashboards, lead an agile team, and partner with cloud migration leaders to ensure executable plans. Travel may be required as needed.

Qualifications

• Bachelor’s degree or 9+ years analytics experience in data/CDO or related fields
• 7+ years in data/analytics and 3+ years project management
• 5+ years using SQL for data mining
• 5+ years advanced spreadsheet and presentation tools
• Ability to convey complex data concepts clearly
• Experience collaborating with cross-functional teams on complex projects
• Strong PM skills and ability to prioritize multiple stakeholders' inputs
• Willingness to travel as required

Responsibilities

• Evolve the enterprise data usage model to capture end-to-end user patterns and data lineage
• Own the cloud data migration roadmap and drive alignment with leaders, partners, and vendors
• Provide analysis to optimize migration execution and identify sensitive data controls
• Define success metrics and deliver automated reporting/dashboards
• Lead an agile team and manage backlog, sprints, and commitments
• Establish continuous improvement backlog and prioritize enhancements
• Promote best practices for data usage, lineage, and optimization
• Handle additional duties and projects as assigned

Skills

Data analytics

Stakeholder communication

Cross-functional collaboration

Project management

Storytelling/presentation

Change agent mindset

Travel flexibility

Education

Bachelor’s degree in mathematics/IS/technology/finance

High school diploma + 9+ years analytics experience

Tools

SQL

SAS (plus)

Job description

Role Summary

The VP, Senior Business Data Analyst - Cloud Data Migration will join the Data & Analytics Engineering (D&A) organization and lead the business analysis and stakeholder alignment needed to deliver a multi-year migration of Synchrony’s D&A data ecosystem to the cloud. This role is responsible for developing data-driven insights (e.g., data usage patterns, dependencies, and data-movement impacts) and translating them into a clear migration roadmap that protects the end-user experience, as well as managing that roadmap. The ideal candidate can design effective data models and analytical approaches to identify interdependencies across datasets, pipelines, and user workflows (i.e. what makes users “whole”), then convert those findings into practical recommendations that drive decisions and action. They will partner closely with stakeholders to define scope, timing, sequencing, as well as drive communications and end-user training needs for each migration bundle. They will collaborate with cloud migration leaders and workstream owners to ensure plans are aligned and executable. Success requires the ability to simplify complex technical topics for non-technical audiences into simple, easy-to-understand messages and to serve as a change agent who drives adoption while balancing program objectives with diverse business needs. Experience with data management and governance (including risk, protection and compliance considerations) is a plus.

Essential Responsibilities

• Evolve the enterprise data usage data model that captures end-to-end user patterns, lineage, and access/behavior signals across the D&A data ecosystem (e.g., database clusters, datasets, ETL/ELT pipelines, APIs). Continuously improve and make optimization recommendations on data model, data sources, definitions, and assumptions to increase transparency into consumption patterns, utilization, and power/cost drivers of data assets.
• Own the enterprise cloud data migration roadmap as the central point of coordination—driving alignment with business leaders, product/technology partners, and vendors on roadmap structure, timelines, dependencies, and prioritized sequencing of data asset migrations. Deliver regular, executive-ready updates to cross-functional stakeholders on progress, risks, issues, and decisions needed.
• Provide analysis and actionable insights to optimize migration execution, including: manage existing migration sequencing that enables data analysts and downstream consumers to successfully transition to cloud-based data products; identify PII and other sensitive data (at rest and in transit) within each migration wave, and coordinate required controls and mitigations; disposition recommendations (e.g., data model/structure improvements, code and data-movement efficiency, retirement of unused data assets, reduction of redundancy).
• Define success measures and establish metrics to track migration progress, adoption, risk reduction, and realized benefits; ensure metrics are consistently reported and actionable. Design and deliver automated reporting and dashboards (e.g., Tableau or equivalent) to provide near real-time visibility into status, milestones, risks, dependencies, and KPIs.
• Lead an agile team and develop talent (e.g., analysts) responsible for executing the migration roadmap and data optimization work; manage backlog, sprint planning, and delivery commitments.
• Establish a continuous improvement backlog capturing lessons learned, technical debt, and enhancement opportunities; partner with stakeholders to prioritize, plan, and execute improvements.
• Promote best practices across the data analytics community by sharing learnings, reusable capabilities, and standards for data usage, lineage, and optimization.
• Perform other duties and/or special projects as assigned.

Qualifications & Requirements

• Bachelor’s degree in mathematics, Information Systems/Technology, finance, business analytics, or other quantitative/technical fields, or a high school diploma and 9+ years of work experience in analytics, data/CDO organizations, and/or other technology or financial service businesses.
• 7+ years experience working with data/analytics and 3+ years of project management in data or analytics.
• 5+ years of experience utilizing SQL (or SAS a plus) for data mining.
• 5+ years advanced spreadsheet and presentation tools.
• Demonstrated presentation/documentation skills with the ability to create strong narratives to further data literacy, creating informative infographics that relay complex technical concepts simply and clearly.
• Experience in collaborating with cross functional teams and executing complex projects.
• Strong project management skills prioritizing projects flowing in from multiple stakeholders.
• Ability and flexibility to travel for business as required.

Desired Characteristics

• Demonstrated influence management with the ability to drive alignment on next steps.
• Ability to build strong relationships with cross-functional teams and become a trusted business partner.
• Experience with large-scale cloud migrations and/or other technical initiatives requiring change management.
• Prior experience with data management, data tools, data governance and/or data risk & compliance functions in the financial industry focused on understanding how data is organized, managed, used and how it must be protected.
• Demonstrated analytic, quantitative, and problem-solving skills.
• Understanding of graph databases a plus.
• Self-starter: ability to independently identify success, metrics to measure progress and identify & execute next steps.
• Excellent communication skills both written and verbal.
• Ability to innovate and find creative solutions to meet business goals.

Compensation

Salary range: $135,000.00 – $230,000.00 annually, eligible for an annual bonus based on individual and company performance. Compensation within the posted range will be based upon work experience, skill level or knowledge. Salaries are adjusted according to market in CA, NY Metro and Seattle.

EEO Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.