Lead Solutions Engineer, Financial Forecasting & Analytics - Vice President

Aumni; Jersey City (NJ); Vor Ort; USD 180.000 - 240.000; Vollzeit

Zusammenfassung

JPMorgan Chase & Co. seeks a Lead Solutions Engineer within the Financial Analysis Data Science Center of Excellence to own the macroeconomic forecast generation and distribution process and modernize it into a controlled operating model.

You will translate complex business requirements into well-engineered solutions with clear controls, documentation, and production support standards. You will collaborate across teams to align architecture, governance, and delivery outcomes, lead a global team,

Qualifikationen

• Master’s degree in Computer Science, Data Science, Quantitative Finance, or a related field.
• At least eight years of experience in engineering, data or platform delivery, analytics enablement, or technology roles in a large, complex organization.
• Demonstrated ownership of full software delivery life cycles from requirements through release and ongoing production support.
• Proven ability to design, architect, integrate, and implement end-to-end solutions across multiple systems and platforms.
• Strong programming and scripting skills (e.g., Python and Excel).
• Experience with modern data platforms (Databricks), cloud environments (AWS), and CI/CD pipelines.
• Data querying and data engineering skills (SQL).
• Experience delivering AI/ML-based solutions in an enterprise environment.
• Demonstrated people leadership experience across multiple locations.
• Strong stakeholder management to drive alignment across Finance, Technology, Transformation, and Governance.

Aufgaben

• Own the end-to-end macroeconomic forecast generation and distribution process.
• Architect and implement automation to replace manual steps with governed, auditable workflows.
• Translate complex business requirements into scalable, maintainable engineering solutions with clear controls and documentation.
• Lead solution design and systems integration across data sources, platforms, and downstream consumers.
• Advance AI/ML-enabled productivity and forecasting initiatives from concept through production.
• Lead and develop a global team through hands-on mentorship and standards-setting.

Kenntnisse

Master's degree

Full SDLC ownership

Python

SQL

Databricks

AWS

CI/CD

Leadership

Stakeholder management

Ausbildung

Master’s degree or equivalent

Tools

Databricks

AWS

CI/CD tooling

Jobbeschreibung

Help shape how business-critical macroeconomic forecasts are generated, controlled, and delivered across the firm. You will modernize a complex forecasting workflow and build resilient production solutions that improve transparency, auditability, and scalability. You will partner closely across Finance, Technology, Transformation, and Governance to deliver outcomes that are durable, well-controlled, and ready for enterprise use.

Job summary

As a Lead Solutions Engineer in the Financial Analysis Data Science Center of Excellence, you will own the end-to-end macroeconomic variable forecast generation and distribution process and modernize it into a reliable, controlled operating model. You will translate complex business requirements into well-engineered solutions with clear controls, documentation, and production support standards. You will collaborate across teams to align architecture, governance, and delivery outcomes. You will lead and develop a global team while remaining technically engaged in architecture and engineering decisions. You will also contribute to advancing artificial intelligence and machine learning-based forecasting and analytics capabilities.

Job responsibilities

• Own the implementation and successful execution of the end-to-end macroeconomic variable forecast generation and distribution process
• Architect and implement automation that replaces manual and offline steps with governed, auditable workflows
• Translate complex business requirements into scalable, maintainable engineering solutions with clear controls and documentation
• Lead solution design and systems integration across data sources, platforms, and downstream consumers
• Advance artificial intelligence and machine learning-enabled productivity and forecasting initiatives from concept through production adoption
• Lead and develop a global team of engineers and data analysts through hands‑on mentorship, standards‑setting, and talent development

Required qualifications, capabilities, and skills

• Master’s degree (or equivalent) in Computer Science, Data Science, Quantitative Finance, or a related field
• At least eight years of experience in engineering, data or platform delivery, analytics enablement, or technology roles in a large, complex organization
• Demonstrated ownership of full software delivery life cycles from requirements through release and ongoing production support
• Proven ability to design, architect, integrate, and implement end-to-end solutions across multiple systems and platforms
• Strong programming and scripting skills (for example, Python and Microsoft Excel)
• Experience with modern data platforms (for example, Databricks), cloud environments (for example, Amazon Web Services), and software delivery tooling (for example, continuous integration and continuous delivery pipelines)
• Data querying and data engineering skills (for example, Structured Query Language)
• Experience delivering artificial intelligence and machine learning-based solutions in an enterprise environment
• Demonstrated people leadership experience, including coaching, performance support, and delivering outcomes through others across multiple locations
• Strong stakeholder management skills with the ability to drive alignment and execution across Finance, Technology, Transformation, and Governance teams

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

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. Visit our FAQs for more information about requesting an accommodation.

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

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Modernize macroeconomic forecasting workflows with strong controls, transparency, and scalable delivery.