VP, Senior Business Data Analyst - Cloud Data Migration

Synchrony•Stamford, CT

2d•Hybrid

About The Position

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.

Requirements

Bachelor’s degree in mathematics, Information Systems/Technology, finance, business analytics, or other quantitative/technical fields or in lieu of degree, 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+ year 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

Nice To Haves

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 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.

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 Identification of PII and other sensitive data (at rest and in transit) within each migration wave, and coordination of 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.