• Bring impeccable communication and complete ownership — independently identifying opportunities, developing strong points of view, and influencing executives, Cards & Credit leaders, and cross-functional partners through clear, concise, and persuasive storytelling. • Develop a nuanced understanding of cardholder behavior and economics, helping teams reason about tradeoffs between growth, engagement, risk, and unit economics. • Define, own, and analyze metrics that inform both tactical decisions and long-term strategy across the cards and credit lifecycle (e.g., eligibility, activation, spend, utilization, rewards, retention, loss signals). • Design and evaluate experiments using rigorous statistical approaches, including A/B testing, cohort analysis, causal inference techniques, and trend analysis. • Build and improve data pipelines and tools to streamline data collection, processing, and analysis workflows, ensuring the integrity, reliability, and security of data assets.

• Acts as Functional Lead for Data Management • Coordinate the work of the assigned Data Management/Data Operations team • Ensures launch, delivery and completion of all Data Management activities and milestones • Provides project specific training to internal and external audiences • Responsible for financial management of assigned projects/programs • Monitors and communicates project progress to the Sponsor and project team • Develop and maintain project plans, specifications and documentation • Maintains documentation on an ongoing basis • Participates in and presents at internal, Sponsor, and third-party meetings • Plans for and creates necessary documentation to support internal and external audits • Trains and mentors data management staff • Prepares input for proposal bid defense meetings • Maintains proficiency in Data Management systems and processes

• Collect and analyze data to validate proposed strategies using statistical techniques and data modeling; • Perform exploratory analyses to identify trends, patterns, and relevant insights in the data using statistical methods and data visualization techniques; • Build high-performance explanatory and predictive models to support decision-making in the planning area; • Regularly evaluate and monitor the performance of built models, identifying potential improvements and adjustments for optimization; • Communicate results, insights, and recommendations clearly and understandably to the business team, facilitating informed decision-making.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Sr. Manager, Customer Data Strategy is a proven leader responsible for partnering with other Customer Success leadership in scaling the customer success organization. This role oversees the governance, delivery, and continual enhancement of CS metrics, dashboards, segmentation models, and cross‑platform data integrations. As a senior people leader, this role is responsible for developing high‑performing analytics talent, driving operational excellence, and ensuring CS teams have unified, trusted, actionable data to guide customer outcomes and business decisions. Responsibilities - Own and lead the Customer Data Strategy Program, ensuring alignment to CS strategy, operating rhythms, and enterprise priorities. - Lead, coach, and develop a high-performing analytics and visualization team, including hiring, performance management, talent planning, and career development. - Drive governance of CS metrics, maintaining a trusted CS Metrics Canon with clear definitions, ownership, validation rules, and documented standards. - Oversee the full CS dashboard portfolio, ensuring high-quality UX, accuracy, continuous improvement, standardization, and appropriate retirement of outdated assets. - Lead data-integration initiatives assessing potential tools and connecting CS data to Customer Success platforms and tools (e.g., Salesforce, Gainsight, internal CS systems), increasing automation, data freshness, and insight accessibility. - Publish and manage the quarterly roadmap for CS metrics, dashboards, and data governance initiatives, including risks, dependencies, milestones, and cross-functional alignment. - Ensure timely monthly performance metric updates, coordinating with corporate analytics, platform teams, and data engineering partners. - Own CS coverage and segmentation model governance, partnering with analytics and business stakeholders to ensure ongoing accuracy, change control, and adoption. - Oversee documentation of data sources, lineage, transformations, schema impacts, and governance controls to maintain high data quality and reporting stability. - Partner with Communications and Enablement to deliver release notes, training, and adoption materials; maintain SOPs and knowledge assets for all CS data products. Qualifications - Bachelor’s degree in Business, Data Analytics, Information Systems, or related field. - 5+ years in program management, analytics, data governance, or related disciplines. - Experience in Customer Success operations, CS/CX analytics, or complex SaaS data environments. - Demonstrated success leading teams, including hiring, coaching, and performance management, ideally with experience managing fully remote teams in other time zones and countries. - Experience collaborating with BI, data engineering, or analytics product teams. - Proven ability to drive cross-functional initiatives without direct authority. - Strong communication and presentation skills for executive, business, and technical audiences. Knowledge/Skills/Abilities - Strong technical program leadership (roadmapping, risk management, dependency orchestration). - Proficiency with Power BI and similar visualization tools. - Knowledge of data governance, lineage, metadata, and data quality practices. - Ability to influence and drive clarity in complex, cross-functional environments. - Understanding of Customer Success metrics, segmentation, coverage models, and health scoring frameworks. - Talent development and people leadership capabilities. - Strong proficiency in data analysis and visualization techniques. - Strong ability to leverage data in driving actionable insight and evaluating impact. - Ability to present complex information in an understandable and compelling manner. - Experience managing several projects simultaneously under tight deadlines. - Ability to work closely with all levels of the organization, to elicit cooperation from a wide variety of sources, including management, executives, and others. Physical Demands and Working Conditions - Regular computer use, review of detailed information, virtual collaboration across time zones, and engagement with global teams. - Vision requirements include close vision, color differentiation, and focus adjustment. Pay Range USD $105,800.00 - USD $180,200.00 /Yr.