Consumer Intelligence & Strategic Analytics Lead, SVP - US Consumer Cards
$156.16k - $234.24kCiti
The Consumer Intelligence & Strategic Analytics Lead serves as a trusted advisor to senior leadership, delivering insights into consumer behavior, customer trends, competitive dynamics, and portfolio performance that inform strategic decision-making and growth priorities. This individual will lead high-impact analyses for executive and investor forums, identify emerging opportunities and risks, and develop scalable AI-enabled capabilities that accelerate insight generation across US Consumer Bank Responsibilities:
- Serve as a trusted analytics partner to senior leadership, delivering insights that support strategic decisions, growth planning, and enterprise priorities
- Lead executive reporting, earnings support, investor-relations analyses, and leadership-review materials
- Deliver consumer behavior insights, strategic analytics, and competitive benchmarking to identify emerging trends, growth opportunities, and portfolio risks
- Influence business strategy through partnership with stakeholders across Product, Marketing, Risk, Finance, Technology, and Strategy
- Lead development of AI-enabled analytical capabilities that automate recurring insights and improve organizational effectiveness
- 10+ years of experience in analytics, strategy, consulting, or financial services.
- Deep expertise in consumer behavior, customer analytics, portfolio performance, and competitive intelligence.
- Strong analytical, problem-solving, and strategic thinking skills, with the ability to translate data into business action.
- Demonstrated success influencing senior leaders through executive-level analyses and recommendations.
- Proficiency in SQL, SAS, Python, Tableau, Power BI, or similar analytical tools.
- Experience leveraging advanced analytics, AI, or GenAI to improve decision making.
- Exceptional communication and stakeholder management skills in a highly matrixed environment.
- Bachelor's degree in Statistics, Economics, Finance, Business, Data Science, Operations Research, or a related quantitative discipline required.
- MBA or Master's degree in a quantitative or business-related field preferred
$156.16k - $234.24k
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