Data Scientist Lead - Consumer Bank Affluent Analytics

JAs a Data Science Manager on the Consumer Bank - Affluent Analytics team, you will lead a team of data scientists & researchers, guiding end-to-end studies that inform business strategies.  Leveraging your expertise in SQL, Python, and statistical methods, you will analyze diverse datasets, synthesize findings, and deliver executive-quality insights. Your work will shape the next generation of research, drive process improvements, and foster a culture of empathy and innovation. You will partner closely with sales strategy , senior business executives, and cross-functional teams to share insights on key initiatives.  As a people manager, you will be responsible for leading, coaching, and developing your team, setting clear goals, providing regular feedback, and supporting their professional growth.

Key Responsibilities:

• 6+ years of experience in business strategy, analytics, or data science.
• Lead, coach, and develop a team of data scientists and researchers, setting clear goals and expectations to drive high performance.
• Proven track record of supporting team members’ career progression and professional development.
• Clear and succinct written and verbal communication skills, able to frame and present messages for different audiences.
• Critical and analytical thinking, with the ability to maintain detail focus and retain big picture perspective.
• Ability to work independently, manage shifting priorities and projects, and thrive in a fast-paced, competitive environment.
• Excellent interpersonal skills to work effectively with a variety of individuals, departments, and organizations.

Required Qualifications, Capabilities, and Skills:

• 5+ years of experience planning and executing user research studies, including quantitative and big data analysis.
• Strong programming skills in SQL and/or Python; experience working with large datasets.
• Proficient in statistical concepts and methods, with a strong analytical and problem-solving mindset.
• Excellent communication skills, with the ability to synthesize and present complex findings to senior stakeholders.
• Demonstrated experience mentoring, training, and managing junior team members.
• Ability to drive multiple initiatives independently and manage competing priorities.

Preferred Skills and Qualifications:

• PhD/Master’s degree or equivalent in Statistics, Mathematics, Computer Science, Data Science, Social Science, or a related field.