AVP, Strategy Monitoring & Analytics

Synchrony•Town of Draper, WI

5d•$100,000 - $170,000•Hybrid

About The Position

The AVP Strategy Monitoring & Analytics is part of the Strategy Monitoring pillar of the Model Operations & Analytics (MO&A) Center of Excellence and drives executional oversight for customer decisioning strategies. The lead partners with strategy owners to design and maintain standardized monitoring frameworks, deliver timely and accurate performance reporting, and document results for governance and credit forums. This role also mentors reporting strategy monitoring analyst(s) and aligns with customer-decisioning strategy developers and Model Risk Management (MRM) to define and monitor the key performance indicators (KPIs) and metrics used for strategy performance management.

Requirements

Bachelor’s degree and 3+ years of analytics experience in areas such as strategy analytics, credit risk, business performance monitoring, or decision science in a financial services or regulated environment; or in lieu of a Bachelor’s Degree, a High School Diploma / GED and a minimum of 7 years of analytics experience in areas such as strategy analytics, credit risk, business performance monitoring, or decision science in a financial services or regulated environment
3+ years of experience in tools such as SQL, Tableau, Python, or other analytics and visualization platforms, with experience delivering actionable insights to senior audiences.
Proven experience executing performance monitoring frameworks, with a deep understanding of portfolio behavior, KPI management, and business impact analysis.
Strong working knowledge of customer lifecycle strategies (e.g., acquisition, account management, collections/ recovery) and the ability to interpret strategic changes through measurable outcomes.
Demonstrated ability to translate strategic objectives into robust, data-driven monitoring processes and support timely governance deliverables
Familiarity with model governance or credit risk governance and regulatory expectations
Strong attention to detail and the ability to synthesize complex trends into clear summaries for executive-level reporting and dashboards.
Experience in supporting performance variance identification, trend diagnostics, and course-correction support for business leaders.
Ability and flexibility to travel for business as required

Nice To Haves

Bachelor’s degree in a quantitative, analytical, or business-related discipline (e.g., Statistics, Economics, Finance, Data Science, Business Analytics); Master’s degree preferred
Strong verbal and written communication skills demonstrated through executive and cross-functional stakeholder engagement, detailed-oriented documentation, and visual storytelling
Experience collaborating with Model Risk Management, Compliance, and Risk functions is a plus
Advanced critical thinking skills in analytical problem-solving and the ability to use data to break down complex models
Strong project management and leadership skills to achieve specific goals within a defined timeline and budget
Ability to effectively share knowledge by translating complex, technical subject matter and providing actionable coaching and feedback across all levels
Familiarity with modeling approaches such as logistic regression, XGBoost and tree ensembles
Strong business acumen and familiarity with model governance frameworks, regulatory expectations, and internal audit processes (e.g., SR 11-7 compliance, MRM policies).
Technical experience with exploratory data analysis, statistical modeling, machine learning, and generative AI.
Proven ability to apply machine learning techniques in business contexts, combining them with statistical modeling, EDA, and GenAI to drive innovation and performance.
Strong understanding of model evaluation metrics such as precisions, recall, F1 and understanding of Lines of Defense (2nd Line Strategy Validation and 3rd Line Internal Audit).

Responsibilities

Design monitoring frameworks and develop metrics to track the performance of model-based strategies and assess the impact on portfolio performance.
Collaborate with strategy owners to define KPIs, dashboards, and real-time reporting tools.
Identify execution gaps or divergence from strategic targets and support business leaders in driving timely course corrections.
Provides monitoring results for strategy changes relative to expected outcomes.
Develop thorough and detailed documentation to support the development of model-based strategies and ongoing performance monitoring to ensure consistency, transparency, and alignment with organizational goals.
Execute governance for ongoing review cycles of model-based strategies and synthesize and report for executive management, including the firm leadership and Board.
Integrate external and macroeconomic indicators to assess strategy resiliency and forecast forward-looking performance.
Leverage tools such as SQL, Tableau, or Python to monitor trends and deliver insights that influence strategic recalibration.
Partner with compliance, model risk, and operations to ensure strategic execution adheres to internal control and regulatory standards.
Collaborate with model development teams to ensure alignment between model changes and strategy updates.
Perform segmentation, cohort analysis, and experimentation to evaluate strategy impact.
Work cross functionally with strategy leads to support their analytics of strategies and models
Mentor reporting analyst(s) to support identification for performance variances and track measurable outcomes.
Perform other duties and/or special projects as assigned.