At Customers Bank, we believe in working hard, working smart, working together to deliver memorable customer experiences and having fun. Our vision, mission, and values guide us along our path to achieve excellence. Passion, attitude, creativity, integrity, alignment, and execution are cornerstones of our behaviors. They define who we are as an organization and as individuals. Everyone is encouraged to have personal development plans. By doing so, our team members are on their way to achieve their highest potential and be successful in their personal and professional lives. An annual salary range up to $225,000 is what we expect to pay for this position, based on overall skills and experience. Who is Customers Bank? Founded in 2009, Customers Bank is a super-community bank with over $22 billion in assets. We believe in dedicated personal service for the businesses, professionals, individuals, and families we work with. We get you further, faster. Focused on you: We provide every customer with a single point of contact. A dedicated team member who’s committed to meeting your needs today and tomorrow. On the leading edge: We’re innovating with the latest tools and technology so we can react to market conditions quicker and help you get ahead. Proven reliability: We always ground our innovation in our deep experience and strong financial foundation, so we’re a partner you can trust. What you'll do: At Customers Bank, we believe in working hard, working smart, working together, and having fun while delivering innovative solutions and exceptional customer experiences. As the Head of Data Governance and Quality, you will lead the bank’s efforts to establish a comprehensive data governance framework and ensure the quality, accessibility, and privacy of data across the organization. You will be responsible for building an engaged data-informed culture, overseeing the data governance and quality programs, and ensuring alignment with data privacy compliance in line with regulatory requirements. This role will focus on improving data accuracy, completeness, lineage, and reliability, enabling the organization to make data-driven decisions while fostering trust and integrity in data management.