Wilmington, DE

Data Jobs in Wilmington, DE

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Today

Product Manager (Vice President) - Machine Learning & Intelligence Operations

JPMorganChase Wilmington, DE

Wilmington, DE

Today

Full time Ai Ml Data Analytics Product Analytics

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Job Description

Join JPMorgan Chase in Wilmington, Delaware, onsite, to lead AI and ML product initiatives at the Vice President level. In this role, you will shape strategy, collect customer feedback, and deliver scalable, high quality products within the AI and ML organization. The team values collaboration, data driven decision making, and a steady focus on customer value, paired with a strong benefits package and access to on site wellness resources.

Benefits

Comprehensive health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

Responsibilities

Develops a product strategy and vision that delivers clear value to customers
Leads discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap
Owns, maintains, and evolves a product backlog that supports the overall strategic roadmap and value proposition
Builds the framework and tracks key success metrics across cost, feature set, functionality, risk posture, and reliability

Requirements

5+ years of experience or equivalent expertise in product management or a relevant domain
Advanced knowledge of the product development lifecycle, design, and data analytics
Proven ability to lead product lifecycle activities including discovery, ideation, strategic development, requirements definition, and value management

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22d ago

Senior Bioinformatics Data Engineer

Kaztronix Wilmington, DE

Wilmington, DE

22d ago

Full time Senior Bioinformatics Data

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Job Description

This senior data and platform engineering role focuses on accelerating biomarker data lake modernization on AWS, building and operating production pipelines across oncology clinical studies.

Responsibilities

Build and maintain Dagster‑driven ingestion pipelines for genomics vendors (Caris, Predicine, Tempus, Olink, CellCarta) with IO managers, Iceberg writers, and row‑level accounting.
Hardene dbt transformations from Silver to Gold, including real‑data test coverage, store‑failures patterns, staging/intermediate/mart models, and macro consolidation.
Implement clinical data ingestion paths for SDTM and ADaM, add reconciliation logic, and route subject‑dimension data.
Deliver platform infrastructure such as FastAPI endpoints, CI/CD pipelines, containerized deployments, observability instrumentation, and Redshift performance tuning.
Extract transformation rules from legacy R and PySpark code and align them with new platform implementations.
Identify repetitive processes and convert them into automated workflows, guardrails, or reusable tooling.
Participate in adversarial design and code reviews, identify edge cases, and push back on suboptimal patterns.
Collaborate with the lead engineer on design decisions and sustain delivery velocity through paired sessions and PR reviews.
Ensure reproducibility standards: CI on every PR, automated tests, and avoid ad hoc notebook‑based production processes.

Requirements

AI native engineering practice: proven experience building systems and workflows around AI coding agents (Claude Code, Cursor, Codex, or equivalent) beyond prompting; know when to automate repetitive tasks, add guardrails for agent outputs, and build infrastructure to accelerate future work.
Education: Bachelor's or master's degree in computer science, data engineering, bioinformatics, or a related field.
Experience: 5+ years in data engineering with shipped production pipelines on AWS (S3, ECS/Fargate, Redshift or equivalent MPP).
Programming: strong Python and SQL skills with working knowledge of modern data engineering libraries.
Orchestration and dbt: advanced proficiency with dbt and a workflow tool (Dagster, Airflow, or Prefect).
Data quality: track record of catching silent failures, questioning data correctness, and detecting lossy joins or incomplete deliveries.
Architecture: solid understanding of lakehouse patterns, ETL processes, and schema design for complex multi‑modal datasets.
Compliance: ability to handle PHI‑adjacent clinical data under contractor policy (background check, compliance training, VPN access).
Legacy code: willingness to work with R and PySpark to extract business rules and validate new implementations.
Communication: excellent ability to collaborate in an embedded pair model with tight feedback loops.

Technologies

Dagster, dbt, Apache Iceberg, Amazon S3, Redshift
FastAPI, Docker, Amazon ECS, AWS Fargate
Python, SQL, R, PySpark
Airflow, Prefect
CloudFormation, AWS Glue Catalog, CI/CD

Preferred Qualifications

Direct experience with Apache Iceberg, AWS Glue Catalog, or lakehouse table formats.
Comfort reading genomic data (VAF, HGVS nomenclature, VCFs, CNV/fusion semantics) or ability to ramp on unfamiliar scientific domains quickly.
Familiarity with clinical data standards such as SDTM, ADaM, and CDISC.
Pharma, clinical research, or life sciences background.
Experience with containerization (Docker/ECS) and infrastructure‑as‑code (CloudFormation).
Proficiency in R for interoperability with bioinformatics teams.

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1mo ago

Data Analyst/Management Analyst I (8109)

ATHENA Consulting Wilmington, DE

Wilmington, DE

1mo ago Closed

$24 - $24/hr Full time Analyst Analytics Business Analytics

This position is no longer accepting applications (closed Jul 13, 2026).

Job Description

Athena Consulting is seeking a Data Analyst/Management Analyst I to help transform data into actionable insights for Wilmington based management programs and operations. This onsite, full-time role emphasizes collecting and analyzing data, producing formal reports, and delivering recommendations to improve program effectiveness and efficiency. The position offers an hourly rate of $24.

Responsibilities

Collect and analyze statistical data for studies of management and operational programs, policies, and procedures to determine effectiveness, cost efficiency, corrective action, and compliance with goals and objectives.
Analyze operational and program data to evaluate performance and identify areas for improvement.
Develop formal reports, presentations, findings, and recommendations for management and other key stakeholders.
Review and interpret data to assess policies, procedures, organizational practices, and operational results.
Identify trends, exceptions, and opportunities for process improvement using statistical analysis and reporting.
Assist in developing management objectives and controls to help resolve issues and improve performance.
Support the implementation of new techniques, procedures, and reporting methods to improve operations and efficiency.
Document findings and prepare recommendations for changes to systems, procedures, or organizational practices.
Additional duties as assigned.

Requirements

Excellent organizational skills and attention to detail.
Ability to work independently; must be self-motivated.
Excellent verbal, written, and listening communication skills.
Ability to understand and adhere to the duties, methods, and procedures required by the position.
Strong analytical, reporting, and presentation skills.
Ability to interpret data and communicate findings clearly to technical and non-technical audiences.
Education: High School diploma.

Benefits

Medical, dental and vision insurance
Health Savings Account
Pet insurance
401k with a generous employer match
Life and Accidental Death & Dismemberment Insurance
Additional Voluntary Life and Accidental Death & Dismemberment Insurance for employee, spouses, and children
Short- and Long-Term Disability
Employee Assistance Program (EAP)
Easy to use employee self-serve HR portal
Sick leave

Application Question

Are you holding a bachelor’s degree in public administration, business administration, statistics, data analytics, or a related field?

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1mo ago

Marketing Analytics Lead-Vice President

JPMorganChase Wilmington, DE

Wilmington, DE

1mo ago Closed

Full time Marketing Analytics Campaign Management

This position is no longer accepting applications (closed Jul 8, 2026).

Job Description

Lead marketing analytics for JPMorgan Chase's Small Business segment, owning end-to-end analytics, experimentation, and measurement to guide acquisition campaigns and business decisions.

Responsibilities

Lead financial and analytical optimization of marketing programs throughout the lifecycle: opportunity sizing, targeting, test design, execution support, performance reporting, and insights.
Own stakeholder relationship management and delivery for assigned marketing partners (book of work): intake, prioritization, scoping, timelines, and outputs; align work to business goals and campaign calendars.
Drive experimentation strategy and measurement rigor, including hypothesis framing, test/control design, success metrics, and post-test readouts; support list execution requirements and measurement feasibility.
Develop analytic assets and frameworks to evaluate campaign incrementality, profitability, and ROI (e.g., forecast/proforma vs. actuals, attribution/measurement approaches where relevant).
Leverage and help evolve the analytics toolset, including Snowflake and emerging AI-enabled analytical applications, to improve speed, scale, and consistency of insights.
Collaborate across functions (modeling, finance, marketing channels, and execution/delivery teams) to ensure solutions are implementable, controlled, and aligned to standards.
Advocate for and define data requirements needed to monitor performance, targeting, and execution; partner with data teams to address data gaps, quality, and lineage considerations.
Maintain and enhance processes and controls supporting measurement quality, repeatability, and auditability of results.
Coach and develop junior team members, setting standards for analytical methods, documentation, and stakeholder-ready storytelling.

Requirements

Bachelor's degree plus 5+ years of Marketing Data & Analytics experience.
Proven hands-on experience delivering financial analytics and performance insights across management levels, including campaign test designs, estimation proformas, and actual performance measurement.
Exceptional collaboration and interpersonal skills; ability to explain complex quantitative topics clearly and influence decision-making across business and technical partners.
Demonstrated experience with business marketing strategy and tactical lifecycle execution.
Proficiency in data analysis languages/tools such as SQL, Python, SAS, R (or comparable).
Experience with relational databases and big data platforms, including Snowflake.
Strong analytical reasoning, interpretive ability, and structured problem solving.
Technical understanding of ETL/ELT concepts and how data flows impact analytics outcomes.
Experience with dynamic, interactive self-serve BI tools (dashboarding and automated reporting).
Strong written and oral communication skills, including creating executive-ready narratives and presenting complex findings simply.

Technologies

Snowflake
SQL
Python
SAS
R
Adobe Analytics
AI-enabled analytical applications

Benefits

Base salary
Commission-based pay
Discretionary incentive compensation (cash and/or forfeitable equity)
Health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

About Us

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined by role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in cash and/or forfeitable equity, awarded for individual achievements and contributions. Benefits vary by eligibility.
We are an equal opportunity employer and value diversity and inclusion. We do not discriminate on protected attributes.

About the Team

Our Consumer & Community Banking division serves Chase customers through personal banking, credit cards, mortgages, auto financing, investment advice, small business loans, and payment processing. We lead in credit card sales and deposit growth with widely used digital solutions, supported by high customer satisfaction.
The CCB Data & Analytics team leverages data across Chase to build competitive advantages while protecting customers and enabling value. The team spans governance, strategy, reporting, data science and machine learning, and collaborates closely with Technology to provide robust data and analytics infrastructure.

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Data Jobs in Wilmington, DE

Product Manager (Vice President) - Machine Learning & Intelligence Operations

Senior Bioinformatics Data Engineer

Data Analyst/Management Analyst I (8109)

Marketing Analytics Lead-Vice President

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