Sr Mgr Customer Data Strategy

Sr Manager Customer Data Strategy & Analytics
The Senior Manager, Customer Data Strategy/Analytics is responsible for shaping the strategic vision and direction of customer data analytics. This position is pivotal in harnessing data-driven insights to support the bank's growth initiatives, including customer acquisition, cross-selling, and retention. The Senior Manager of Analytics leads a team of data specialists and collaborates closely with senior leadership to formulate a visionary approach to data analytics. Key leadership responsibilities include guiding the team, fostering innovation, and aligning analytics strategies with organizational objectives to drive impactful results.   Position Responsibilities:
Vision and Strategy

• Shape and communicate the overarching vision for advanced marketing analytics
  within the organization.
• Develop and lead the strategic direction for our analytics initiatives, aligning
  them with the bank's growth objectives.
• Collaborate with Lines of Business to define and prioritize strategic initiatives
  related to customer acquisition, cross-selling, and retention.
• Cultivate strategic partnerships with third-party data and analytics providers to
  enhance our capabilities and innovation.

Leadership and Oversight

• Provide visionary leadership to a team of Data Scientists, Data Analysts, and data
  specialists, guiding them in addressing complex business challenges.
• Oversee data analytics and insight generation initiatives, providing strategic
  direction to optimize team productivity.
• Identify opportunities for segmentation and personalization based on statistical modeling, guiding the team in implementing these strategies.
• Foster a culture of innovation, automation, and continuous improvement.

Stakeholder Engagement

• Build and maintain strong relationships with key stakeholders, including senior
  leadership and technology teams.
• Communicate the vision and strategy effectively through high-quality
  presentations and thought leadership.
• Collaborate with external partners and vendors to explore new opportunities and stay at
  the forefront of industry trends.

Strategic Impact

• Drive strategic thinking and innovation in data analytics, positioning the
  organization as a leader in the industry.
• Ensure that CLV models and data-driven insights directly inform decision-making
  processes, particularly in areas such as acquisition campaigns, cross-selling, and product
  recommendations.
• Influence risk management processes by collaborating closely with the Model
  Risk Management (MRM) team to validate and enhance models.