WLS - Data & Reporting Business Manager - Vice President

JPMorganChase; Newark (DE); On-site; USD 100,000 - 130,000; Full time

Job summary

JPMorganChase is looking for a Senior Analytics Advisor in Newark, Delaware. You'll partner with leadership to define the analytics agenda and deliver actionable insights.

This role requires over 7 years of experience in data science and strong analytical and business acumen. You'll lead data quality initiatives and translate analytical findings into clear decision-ready insights.

The position fosters a diverse and inclusive work environment, respecting all backgrounds.

Qualifications

• 7 years of experience in data science, analytics, or data-driven strategy.
• Proven ability to drive analytics outcomes across cross-functional teams.
• Experience defining and governing business-critical metrics.
• Hands-on experience leading data quality initiatives.
• Proficiency in data visualization tools.

Responsibilities

• Serve as a senior analytics advisor to business and finance leadership.
• Own partnerships between data management and business stakeholders.
• Lead proactive data health programs.
• Define, standardize, and govern portfolio metrics.
• Translate data into decision-ready insights.

Skills

Data analysis skills

Metric design

Statistical analysis

Data quality assessment

Business acumen

Executive communication skills

Analytical judgment

Artificial intelligence tools

Data visualization and presentation tools

Tools

Python

SQL

Job description

Join a team where your insights directly shape business performance and decision-making. You will partner with senior leaders to define the analytics agenda and deliver actionable insights. In this role, you will improve data quality, drive efficiency, and support risk management using advanced analytics and emerging technologies.

Job Responsibilities

• Serve as a senior analytics advisor to business and finance leadership, shaping the insights agenda and ensuring high-quality deliverables
• Own partnerships between data management and business stakeholders, aligning priorities and accelerating resolution of data issues
• Lead proactive data health programs, including control checks, root-cause analysis, and remediation planning
• Define, standardize, and govern portfolio metrics to ensure consistency, control, and audit readiness
• Translate performance, risk, and operational data into clear, decision-ready insights with recommended actions
• Lead analytical work end-to-end, from problem definition through execution and implementation
• Develop executive-level materials that clearly communicate analytical findings, data quality, and risk implications
• Drive automation and self-service capabilities to improve efficiency, control, and adoption
• Apply advanced analytics to business use cases, partnering with technical teams to develop scalable solutions
• Establish responsible use of artificial intelligence tools, including validation, explainability, and governance practices
• Evaluate analytical outputs to ensure accuracy, clarity, and readiness for senior stakeholders

Required Qualifications, Capabilities, And Skills

• 7 years of experience in data science, analytics, or data-driven strategy in a complex or regulated environment
• Proven ability to drive analytics and data integrity outcomes across cross-functional teams
• Strong data analysis skills, including metric design, statistical analysis, and data quality assessment
• Experience defining and governing business-critical metrics with appropriate controls and documentation
• Hands‑on experience leading data quality initiatives and remediation efforts
• Strong business acumen with the ability to connect analytics to performance, risk, and operational decisions
• Executive communication skills with the ability to deliver clear, concise insights and recommendations
• Strong analytical judgment with a focus on accuracy and quality of outputs
• Experience applying artificial intelligence tools with appropriate validation and oversight
• Proficiency in data visualization and presentation tools

Preferred Qualifications, Capabilities, And Skills

• Experience with programming languages such as Python or SQL to develop analytics solutions
• Familiarity with responsible artificial intelligence principles in a controlled environment
• Knowledge of data governance frameworks, including metric governance and data lineage
• Experience in financial services, lending, or portfolio and risk-related environments
• Experience working in finance or business management functions
• Experience acting as a liaison between technical data teams and business stakeholders

To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase & Co. will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit, including optional practical training (OPT) or curricular practical training (CPT).

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans.