Business Analytics Lead - Customer Data Forensics

PNC•Washington, DC

2d•$91,000 - $202,800•Onsite

About The Position

This is a senior-level individual contributor responsible for improving the quality, governance, usability, and reliability of enterprise customer data. This role partners across business, technology, analytics, risk, and compliance to define customer data standards, resolve data issues at the root cause, and enable trusted customer data products for reporting, analytics and modeling, business decisioning, customer experience, and regulatory needs. The role also helps shape and deliver analytically ready datasets and reusable features that accelerate insight generation and decision solutions.

Requirements

Customer data domain expertise (definitions, lifecycle, usage, risks, and controls)
Data quality management (profiling, rule design, monitoring, thresholds, reconciliation)
Root cause analysis & remediation leadership
Governance & control mindset (risk-based prioritization, audit readiness, responsible data use)
Analytics enablement (analytically ready datasets, feature definitions, metric/KPI alignment)
Decisioning & insight orientation (connecting data work to business outcomes; supporting model and decision solution lifecycle)
Requirements definition (business-to-technical translation; user stories; acceptance criteria)
Executive communication (clear narratives, concise updates, decision framing)
Collaboration & influence across business, tech, risk, compliance, and operations
Analytical Thinking
Business Acumen
Business Analytics
Consulting
Decision Making and Critical Thinking
Effective Communications
Emerging Technologies
University / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

Nice To Haves

Experience with Master Data Management (MDM), customer identity resolution, probabilistic matching, or householding solutions.
Familiarity with data governance frameworks and tools (e.g., Collibra/Alation, Archer/GRC tools, data cataloging/lineage platforms).
Experience supporting regulatory programs, MRAs, audit readiness, and control evidence practices.
Experience supporting analytics and data science workflows (feature engineering, cohort/segment analysis, model inputs/outputs) and translating business decision needs into data solutions.
Familiarity with decisioning and measurement practices (e.g., segmentation strategies, champion/challenger testing, experimentation, KPI design) and working with stakeholders to evaluate impact.
SQL proficiency and experience working in data lake / warehouse environments (cloud and/or on-prem).
Background in financial services data management or other highly regulated environments.
Analytical Thinking, Business Intelligence (BI), Concept Development, Data-Driven Decision Making, Data Integration, Market Research, Performance Metrics, Qualitative Research, Strategic Planning

Responsibilities

Serve as a subject matter expert (SME) for enterprise customer data concepts including customer identity, householding, customer hierarchies, contact data, consent/preferences, and customer attributes.
Drive customer data definition alignment (business glossary, critical data elements, metadata), ensuring consistent meaning and usage across platforms and lines of business.
Contribute to customer data strategy and roadmap, identifying opportunities to modernize customer data capabilities and reduce fragmentation.
Execute customer data quality management practices: profiling, monitoring, rule definition, threshold tuning, and performance reporting.
Lead investigation of data anomalies and recurring defects using structured root cause analysis; coordinate remediation with upstream/downstream partners.
Implement scalable controls and preventive measures (e.g., validation rules, reconciliation checks, exception handling, automation) to reduce repeat issues.
Partner with analytics and data science teams to translate business problems into data requirements, analytically ready datasets, and reusable features (e.g., customer identity, household, relationship, and behavioral attributes).
Support model development and monitoring by improving data completeness, stability, and explainability; document assumptions, transformations, and known limitations for appropriate use.
Enable business decisioning use cases by defining customer data inputs for segmentation, targeting, credit/marketing decisioning, personalization, and next-best-action solutions.
Establish fit-for-purpose data quality checks for analytic pipelines (distribution shifts, outliers, freshness, leakage risks) and coordinate remediation when thresholds are breached.
Collaborate with partners to develop KPIs and measurement approaches that connect data improvements to business outcomes (e.g., conversion, retention, risk performance, operational efficiency).
Support customer data governance routines including stewardship forums, issue/decision logs, and control evidence management to enable consistent, trusted use of customer data across reporting, analytics, and decisioning.
Ensure customer data processes and controls align to risk, audit, privacy, retention, and regulatory requirements while supporting responsible innovation and scalable analytic consumption.
Produce leadership-ready reporting on customer data risk posture, control health, remediation progress, and key metrics; highlight impacts to critical reporting, models, and decision solutions.
Partner with data engineering and product teams to define requirements for customer data solutions (MDM/EDS/APIs/data lake), including onboarding, lineage, analytic consumption patterns, and performance/availability needs.
Support design and operationalization of “trusted” customer data products and feature sets (e.g., curated views, golden records, identity/household features), including documentation, data contracts, and consumption guidance.
Enable analytics, operations, and customer-facing teams by improving accessibility to reliable customer datasets and features, advising on proper usage, and accelerating time-to-insight/time-to-decision.
Act as a connector across business, operations, risk, and technology—translating business needs into data requirements and actionable delivery plans.
Mentor analysts/junior data stewards and promote standards, playbooks, and repeatable practices.
Influence without authority through clear narratives, fact-based recommendations, and proactive stakeholder engagement.
Leads the analytics processes across multiple functions or business units leveraging an array of complex analytical tools to create data driven solutions.
Serves as mentor to more junior employees.
Consults with clients and mentors consultants on tool and strategy implementation and monitoring, statistical scoring, business intelligence, data quality, and analytical product / solution development.
Determining the optimal analytic approach and supporting development, implementation and enhancements.
Assists peers with guidance on analytic approaches related to more complex solutions.
Conceptualizing, developing and continuously optimizing analytical solutions for business leadership to enable data driven decision making.
Analyze results and make recommendations for key business partners and senior management or communicate conclusions from complex analytical solutions to a wide range of audiences.

Benefits

medical/prescription drug coverage (with 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/elder care
adoption, surrogacy, and doula reimbursement
educational assistance, including select programs fully paid
a robust 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 to 25 vacation days each year, depending on career level; and years of service.