Data Product Owner-Senior Associate

Fairygodboss; Columbus (OH); On-site; USD 110,000 - 160,000; Full time

Job summary

Chase is seeking a Data Product Owner on the Digital Data Owner Team to guide data products from creation to consumption for analytics and AI/ML use cases.

You will document data requirements, ensure data quality and governance, and partner with Technology, Product, Analytics, Operations, Risk and Control to deliver data-driven insights. The role emphasizes data lifecycle and mitigating data risks.

Qualifications

• Bachelor's degree in an applicable STEM field.
• 3+ years of working experience in Data Science, Computer Science, Information Systems, Data Analytics, or a related field.
• Ability to generate data models using firmwide tooling and designs for high-performance querying/reporting.
• Experience with data technologies such as analytics, business intelligence, machine learning, data warehousing and data modeling.
• Working knowledge of data management, metadata, data quality, privacy/security, retention, and governance concepts.
• Strong knowledge of SQL, database concepts, Kafka, Amazon Web Services (AWS), and Snowflake
• Familiarity with natural language processing, machine learning, and deep learning toolkits (such as TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
• Familiarity with open data standards, data taxonomy and vocabularies, and metadata management
• Able to balance short-term goals and long-term vision in complex environments.

Responsibilities

• Document data requirements for your product, coordinate with technology to get the data created, and work with business partners to help manage change from legacy data to modernized data.
• Model the data with a long-term vision to enable efficient querying, natural language querying, and use in LLMs; utilize the business data dictionary and business metadata from tech and product teams to describe the data in simple, understandable terms.
• Contribute ideas for data products by understanding analytics needs and pain points; help create prototypes that analytics and data engineering teams can use as requirements in productizing the datasets.
• Support the development of proof of concepts for natural language querying of the data, and collaborate with analytics, data science, and other stakeholders to roll out the capability to business users.
• Support the team in building the backlog, grooming initiatives, and creating user stories to help data engineering scrum teams publish new data and create data products.
• Partner with Technology, Product, Analytics, Operations, Risk, and Control teams to investigate data issues, identify root causes, and support timely remediation.
• Maintain comprehensive documentation of data models, data structures, business rules, metadata, and data delivery processes.

Skills

SQL

Kafka

AWS

Snowflake

NLP

ML

TensorFlow

PyTorch

NumPy

Scikit-Learn

Pandas

Education

Bachelor's degree in an applicable STEM field

Job description

Champion innovation at the intersection of technology and business, guiding cross-functional teams to deliver analytics products that drive real value.

As successful Data Product Owner on the Digital Data Owner Team, you play a key role in the firm's agenda of enabling the business to drive faster innovation through the use of its data by ensuring that data is clearly documented, of good quality, and well-protected. You'll be responsible for customer application and account opening, data that is created, published to the data lake, or consumed for advanced analytics or AI/ML use cases. You'll serve as a subject matter expert to help define and classify data critical to their product, support change management from legacy to modernized data, and collaborate with technology and business partners to execute on data requirements. Additionally, you'll help identify, monitor, and mitigate data risks throughout the data life cycle, and simplify the work involved in getting data from generation to conversion into dashboards, models, and natural language queries.

Job responsibilities

• Document data requirements for your product, coordinate with technology to get the data created, and work with business partners to help manage change from legacy data to modernized data.
• Model the data with a long-term vision to enable efficient querying, natural language querying, and use in LLMs; utilize the business data dictionary and business metadata from tech and product teams to describe the data in simple, understandable terms.
• Contribute ideas for data products by understanding analytics needs and pain points; help create prototypes that analytics and data engineering teams can use as requirements in productizing the datasets.
• Support the development of proof of concepts for natural language querying of the data, and collaborate with analytics, data science, and other stakeholders to roll out the capability to business users.
• Support the team in building the backlog, grooming initiatives, and creating user stories to help data engineering scrum teams publish new data and create data products.
• Partner with Technology, Product, Analytics, Operations, Risk, and Control teams to investigate data issues, identify root causes, and support timely remediation.
• Maintain comprehensive documentation of data models, data structures, business rules, metadata, and data delivery processes.

Required qualifications, capabilities, and skills

• Bachelor's degree in an applicable STEM field
• 3+ years of working experience in Data Science, Computer Science, Information Systems, Data Analytics, or a related field.
• Ability to generate data models using firmwide tooling and designs for high-performance querying/reporting
• Experience with data technologies such as analytics, business intelligence, machine learning, data warehousing and data modeling.
• Working knowledge of data management, metadata, data quality, privacy/security, retention, and governance concepts.
• Strong knowledge of SQL, database concepts, Kafka, Amazon Web Services (AWS), and Snowflake
• Familiarity with natural language processing, machine learning, and deep learning toolkits (such as TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
• Familiarity with open data standards, data taxonomy and vocabularies, and metadata management
• Able to balance short-term goals and long-term vision in complex environments.

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 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.

Equal Opportunity Employer/Disability/Veterans

ABOUT THE TEAM

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.