Role Title

AVP, Strategy Sciences (L11)

Role Summary/Purpose

This AVP role sits within the Strategy Sciences team and is responsible for shaping data-driven strategies that enable sustainable customer growth, optimize portfolio performance, and drive enterprise business outcomes. The role combines advanced analytics, strategic thinking, and business leadership to identify emerging opportunities, influence decision-making, and deliver measurable impact across Acquisition and Account Management functions spanning Credit and Fraud.

Reporting to the VP, Strategy Sciences, the AVP will lead high-impact strategy science initiatives by leveraging advanced analytics, experimentation, machine learning, and deep business insights to solve complex business problems. The individual will partner closely with senior business leaders, model development teams, technology organizations, and cross-functional stakeholders to define strategic priorities, translate insights into scalable solutions, and accelerate business value through data-driven decisioning.

This position is designed for a strategic individual who can independently lead multiple complex initiatives, influence senior stakeholders without direct authority, mentor junior team members, and drive execution from ideation through implementation while balancing business objectives, customer experience, and regulatory considerations.

Key Responsibilities

- Strategy opportunity identification Business Advisory: Partner with Acquisition and Account Management leadership to identify high-impact growth, optimization and risk mitigation opportunities. Leverage advanced analytics, emerging trends to prioritize initiatives that deliver measurable customer and portfolio outcomes
- Business problem framing Strategy design: Translate complex business questions into structured analytical frameworks - defining hypotheses, success metrics, experimentation approaches, and execution strategies. Balance analytical rigor with practical business considerations to influence strategic decisions.
- Advanced analytics Data Science:



Lead the design and execution of sophisticated analytics initiatives across supervised and unsupervised machine learning algorithms for customer segmentation, anomaly detection, feature engineering, predictive analytics, and pattern recognition. Additionally explore new and emerging methodologies and graph native technologies to deliver scalable business solutions and actionable insights.
- Executive Communication strategic Influencing : Translate analytical findings into concise executive-ready narratives, impact sizing and trade-off analysis. Present insights that enable informed business decisions across senior leadership.
- Experimentation Decision Science : Design and govern test-and-learn frameworks to evaluate new strategies, optimize customer treatment methodologies and quantify business impact. Continuously refine recommendations through post-implementation evaluations and performance measurements.
- Cross-functional leadership Delivery : Partner closely with Product, Technology, Model Development, Data, and Business Strategy teams to influence roadmaps, improve data and decisioning capabilities, enable scalable implementation, and ensure successful delivery of enterprise initiatives.
- Innovation Capability Building: Champion innovative analytical approaches, emerging AI and ML methodologies, and best practices in strategy science while mentoring junior team members, promote analytical excellence, and contribute to building organizational capabilities.

Required Skills / Knowledge

- Bachelors degree in a quantitative discipline with 5+ years of experience in strategy, analytics, or data science within consumer financial services (Credit, Marketing, Risk, Fraud, or Collections) or in lieu of a Bachelors degree, 7+ years of data analytics/data sciences in Marketing, Risk or Collections in Financial services.
- Strong expertise across the consumer lending lifecycle, including customer acquisition,



underwriting, portfolio management, credit line management, fraud, and collections, with a solid understanding of decisioning strategies and portfolio optimization.
- Advanced analytical and technical proficiency in SQL and SAS, with strong working knowledge of Python (or equivalent programming languages), automation, and data visualization / conversational AI tools.
- Experience applying advanced statistical and machine learning techniques (e.g., logistic regression, tree-based models, ensemble methods, clustering, optimization, neural networks) to solve complex business problems.
- Working Experience with LLMs underpinning Generative Agentic AI protocols
- Proven experience developing data-driven strategies using and test-and-learn methodologies to deliver measurable business outcomes.
- Demonstrated ability to translate complex business problems into scalable analytical solutions, applying structured problem-solving, sound business judgment, and strong quantitative rigor.
- Passion for innovation and continuous improvement, with the ability to identify emerging analytical methodologies and translate them into practical business applications.
- Solid leadership and stakeholder management skills, with experience leading cross-functional initiatives, influencing senior leaders, and partnering effectively across Business, Product, Technology, Data Engineering, Model Development, and Operations.
- Excellent executive communication and storytelling skills, with advanced proficiency in Excel and PowerPoint, and the ability to communicate complex analytical concepts effectively to both technical and non-technical audiences.

Desired Skills / Knowledge

- Masters Degree Preferred
- Exposure to cloud-based analytics platforms, big data technologies, or modern data ecosystems (e.g., Snowflake, Databricks, Spark, Hadoop, or similar) is preferred.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 AVP, Strategy Sciences (Hyderabad)
🏢 Synchrony
📍 Hyderabad