Business Analytics Manager Senior - Consumer Data Solutions & Analytics

PNC•Washington, DC

6d•$123,200 - $274,560•Onsite

About The Position

At PNC, the Business Analytics Manager Senior is part of the Consumer Data Solutions & Analytics organization and is based in Pittsburgh or Philadelphia, Pennsylvania; Cleveland, Ohio; Washington, DC; or Tyson's Corner, Virginia. The role leads analytics and data management initiatives across the customer data domain, improving the quality, completeness, accuracy, consistency, lineage, and control of customer data used in business operations, risk management, regulatory compliance, and customer-focused decisions. The manager partners with business, technology, data governance, risk, legal, and compliance stakeholders to define data requirements, identify control gaps, resolve data issues, and deliver sustainable, auditable solutions that support enterprise standards and regulatory obligations. The position directs the strategic design, management, and implementation of enterprise-wide business analytics programs, leads complex analytical solutions, and supports adoption of emerging analytics technologies. It also manages and develops staff and communicates customer data risks, trends, control effectiveness, and remediation status to senior leaders and cross-functional stakeholders. PNC describes itself as an in-office company. The role is incentive eligible, with payment based on company, business, and/or individual performance. PNC will not provide employment visa sponsorship or participate in STEM OPT for this position.

Requirements

8+ years of experience in data analytics, business analytics, business intelligence, and/or data-driven decision support.
Strong experience presenting complex analytical findings to business and executive stakeholders.
Demonstrated success communicating with cross-functional teams and senior leadership.
Strong analytical thinking and problem-solving abilities.
Experience supporting risk management, governance, compliance, or regulatory-focused initiatives.
Advanced SQL expertise, including complex queries, joins, aggregations, subqueries, data validation, and performance optimization.
Strong Python programming and coding experience, including data analysis, data manipulation, reporting automation, data quality monitoring, and predictive analytics.
Experience developing dashboards and visualizations using Tableau or Power BI.
Experience working within customer-focused data environments and consumer data domains.
Strong presentation, communication, and stakeholder management skills.
Ability to influence business decisions through analytics and data storytelling.
A bachelor's degree is listed; a comparable combination of education, job-specific certifications, and experience may be considered in lieu of a degree.
Typically, at least 5 years of prior management experience is required for roles at this level.
Candidates must demonstrate appropriate knowledge, skills, and abilities for the role.
No required certifications or licenses.
No employment visa sponsorship or STEM OPT participation is provided.

Nice To Haves

Experience with generative AI solutions, large language models, prompt engineering, or AI-powered business applications.
Banking, consumer finance, FinTech, or financial services industry experience.
Experience supporting regulatory reporting, risk analytics, customer analytics, fraud analytics, or compliance analytics.
Knowledge of data governance frameworks and enterprise data management practices.
Experience leading analytics strategy and enterprise reporting initiatives.
Familiarity with machine learning, predictive analytics, and advanced statistical modeling.
Experience partnering with Risk, Compliance, Legal, Technology, and Product teams.
Preferred skills include analytical thinking, business intelligence, concept development, data-driven decision making, data integration, market research, performance metrics, qualitative research, and strategic planning.
Higher education such as a master's degree or PhD, or certifications, is desirable.

Responsibilities

Lead complex analytics and data management initiatives involving customer identity, profile, contact, account relationship, consent, preference, and other customer-domain data.
Define, implement, and monitor data quality rules and controls for completeness, accuracy, validity, consistency, timeliness, uniqueness, and integrity.
Analyze customer data across source systems, master data platforms, and downstream applications to identify anomalies, gaps, reconciliation breaks, and systemic root causes.
Build and maintain data quality dashboards, scorecards, exception reports, and management reporting using SQL, Python, Tableau, or Power BI.
Establish measurable data quality thresholds, key performance indicators, key risk indicators, issue escalation criteria, and remediation tracking.
Partner with data owners, data stewards, technology teams, and business users to document data definitions, lineage, business rules, controls, and ownership.
Support regulatory compliance, audit, and risk management activities by producing traceable analysis, control evidence, impact assessments, and remediation reporting.
Assess customer data risks, translate regulatory and policy expectations into analytical or control requirements, and identify opportunities to strengthen preventive and detective controls.
Coordinate issue management from identification and prioritization through root-cause analysis, corrective action, validation, closure, and ongoing monitoring.
Communicate customer data risks, quality trends, control effectiveness, and remediation status to senior leaders and cross-functional stakeholders.
Drive automation and standardization of data profiling, validation, reconciliation, exception management, and reporting processes.
Mentor analysts and promote consistent practices for customer data analysis, data quality testing, documentation, and control execution.
Direct the strategic design, management, and implementation of enterprise-wide business analytics programs to drive customer solutions, service innovation, and profitability.
Lead development and execution of complex analytical solutions to meet business requirements.
Lead research, development, and adoption of emerging analytics technologies and identify technology-based business opportunities.
Implement mechanisms to ensure information is accurate, meaningful, has integrity, manages risk, and meets senior leadership needs.
Direct, motivate, develop, and manage the performance of the management team and key staff.
Manage risks associated with business objectives and activities in alignment with PNC's Enterprise Risk Management Framework.
As a people manager, cultivate diverse and inclusive teams, model PNC's values, drive change and innovation, own and deliver results, empower others, and develop employees.

Benefits

Medical and prescription drug coverage, including a Health Savings Account feature.
Dental and vision options.
Employee and spouse/child life insurance.
Short- and long-term disability protection.
401(k) with PNC match.
Pension and stock purchase plans.
Dependent care reimbursement account.
Back-up child and elder care.
Adoption, surrogacy, and doula reimbursement.
Educational assistance, including select fully paid programs.
Wellness program with financial incentives.
Maternity and/or parental leave.
Up to 11 paid holidays each year.
9 occasional absence days each year, unless otherwise required by law.
Between 15 and 25 vacation days each year, depending on career level and years of service.
Incentive-eligible compensation based on company, business, and/or individual performance.