VP, Data Product Management

SMBC, L.C.
Charlotte, NC, United States
5 days ago
Apply on dejobs.org
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Agile Methodology Artificial Intelligence Amazon Web Services Data Analysis Microsoft Azure Cloud Computing Continuous Delivery Data Validation Data Integrity Data Transformation Python (Programming Language) Scrum Methodology
+16 more
Reference Data Power BI Tensorflow Azure Machine Learning Software Engineering SQL Databases Cloud Platform System Microsoft Power Automate Pytorch System Availability Snowflake Test Scripts Integration Tests Performance Monitor Alteryx Databricks

Job description

  • Design and transform manual processes using AI and digital tooling (e.g., CoPilot, Power Automate, Power BI, Alteryx, and emerging AI-enabled tools)

  • Develop and influence deliverables directly: create prototypes, analytics, dashboards, and automations that accelerate decision-making and reduce manual work

  • Serve as business analyst for Data transformation, Risk Modeling and Financial Reporting initiatives, translating model development, risk reporting, financial reporting and regulatory requirements (e.g., CCAR) into clear user stories, process maps, and functional requirements

  • Support production processes for systems and workflows used in CCAR, including triage of issues, root-cause analysis, and coordination of fixes with Technology and business owners

  • Partner with Capital Planning SMEs, Technology, and key Risk and Finance stakeholders to identify pain points, define target-state workflows, and deliver solutions that improve controls, transparency, and efficiency

  • Serve as the squad’s Scrum Master: facilitate Agile ceremonies (stand-ups, refinement, planning, retrospectives), remove blockers, and help the team continuously improve delivery practices and velocity

  • Prepare documentation, training materials, and test artifacts (test scripts, scenarios, acceptance criteria) to enable consistent adoption across stakeholder groups

  • Establish frameworks for data validation, integration testing, and performance monitoring.

  • Ensure platform reliability and data integrity through collaboration with QA and engineering teams for continuous build and delivery (CI/CD) of features.

  • Plan and facilitate user acceptance testing and stakeholder sign-offs; coordinate release readiness and communications

  • Maintain working knowledge of the complete technology stack supporting Model training, including cloud computing, Machine Learning frameworks, and orchestration systems

Requirements

  • 5+ years of total experience combining Business Analysis and hands-on software development experience within financial services or financial technology

  • Strong data analysis skills, including hands-on experience with SQL an python

  • Hands-on experience with ML/AI development tools (such as Azure ML, AWS SageMaker, PyTorch) and cloud computing platforms (AWS, Azure, Databricks, Snowflake)

  • Demonstrated hands-on transformation experience: you have directly helped design, build, or implement process and tooling changes (beyond coordination/PMO activities)

  • Self-driven, self-motivated, and able to operate independently while collaborating effectively in a squad/team environment

  • The candidate should be capable of understanding and solving highly complex problems, have excellent communication skills and have experience in financial services, preferably in the areas of commercial banking, investment banking and trading

  • Solid understanding of Capital Markets, preferably in Sales & Trading or Investment Banking

  • Experience working with trade data, position data, and reference data

Additional Requirements

  • Experience working in financial services with exposure to regulatory reporting and/or CCAR (or closely related stress testing processes)

  • Excellent written and verbal communication skills, with the ability to engage senior stakeholders

About the company

SMBC Group is a top-tier global financial group. Headquartered in Tokyo and with a 400-year history, SMBC Group offers a diverse range of financial services, including banking, leasing, securities, credit cards, and consumer finance. The Group has more than 130 offices and 80,000 employees worldwide in nearly 40 countries. Sumitomo Mitsui Financial Group, Inc. (SMFG) is the holding company of SMBC Group, which is one of the three largest banking groups in Japan. SMFG’s shares trade on the Tokyo, Nagoya, and New York (NYSE: SMFG) stock exchanges.

In the Americas, SMBC Group has a presence in the US, Canada, Mexico, Brazil, Chile, Colombia, and Peru. Backed by the capital strength of SMBC Group and the value of its relationships in Asia, the Group offers a range of commercial and investment banking services to its corporate, institutional, and municipal clients. It connects a diverse client base to local markets and the organization’s extensive global network. The Group’s operating companies in the Americas include Sumitomo Mitsui Banking Corp. (SMBC), SMBC Nikko Securities America, Inc., SMBC Capital Markets, Inc., SMBC MANUBANK, JRI America, Inc., SMBC Leasing and Finance, Inc., Banco Sumitomo Mitsui Brasileiro S.A., and Sumitomo Mitsui Finance and Leasing Co., Ltd.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on dejobs.org
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:35 min

Preventing remote code execution in PyTorch models

Balázs Kiss · World Congress 2023

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

1:06 min

Compiling PyTorch environments for advanced time forecasting

Christoph Lohrmann Christoph Lohrmann +1 · World Congress 2026 Europe

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:48 min

Standardizing data access schemas with OData

Florian Bader Florian Bader · World Congress 2026 Europe

Videos

See all

Related articles

See all