ADP Data Consumption - AI/ML Data Curation Manager
Wilmington, DE, United States
JPMorgan Chase & Co.
Join a team that is responsible for leading the design, development, and maintenance of our data infrastructure and pipelines!!
As a AI/ML Data Curation Manager, within the ADP Data Consumption Team, you will deliver on all data-related needs in support of Business Modeling book of work.
Job Responsibilities:
- Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver data solutions that meet business needs and adhere to data use and controls requirements, complete and submit necessary requests for data intake.
- Lead and mentor a team of data engineers, providing guidance and support to ensure the successful delivery of projects and manage multiple projects simultaneously, ensuring timely delivery and alignment with business objectives.
- Develop and maintain documentation for data engineering processes and systems and develop data subject matter expertise across a broad range of cross domain data and create conceptual and logical models to describe a particular domain of data and use these models to inform the physical design of data-related projects.
- Unify and organize data in a fashion that allows successful usage through multiple phases of model development and communicate project status, issues, or escalations with key partners or stakeholders.
- Design curated reusable high-quality data products required for cross product and customer centric price optimization managing across D&A, Finance, Marketing and Operations environments and support legacy processes and platforms while driving toward target state.
- Partner with other teams to bring marketing, operations, customer journey, and risk data together with finance data to be used in Business Modeling and identify areas for efficiency across data domains, such as the elimination of duplicate data or platforms.
- Assist with the cloud data migration for the product while driving alignment to the Firm-wide solution and represent modeling use cases in the Data Use Council forums to ensure appropriate use of firm data and conduct research and development with emerging technologies, determine their applicability to business use cases, document and communicate their recommended use in the firm.
Required qualifications, capabilities, and skills:
- BS or MS in STEM field with quantitative background or equivalent experience/knowledge; 7+ years of experience as a lead or key participant on data infrastructure related efforts
- Hands on technical expert on Consumer Banking products and data domains to fit most pressing need across data governance, analytics, data staging for modelers, model implementation, new data pipelines and documentation.
- Must exhibit a thorough understanding of data structures, data manipulation, metadata, data security, and data quality management and a solid understanding of banking businesses, functions, systems, data environments, and processes that are necessary for the production and utilization of modeling data.
- Understanding of Hadoop-related technologies & their applications and strong command of the SQL language & relational database knowledge and other languages such as Java/Scala, Python, R, including database design and query optimization
- Hands on exposure on AWS Services (like EC2, EMR, EFS, Athena) and strong knowledge of data structures, algorithms, and big data tools (Spark, Hive, HDFS, etc.) on Cloud platform.
- Strong design, coding, debugging and analytical skills, especially across the big data ecosystem and deep technical knowledge of data infrastructure practices and tools and knowledge of version control tools and processes (e.g. Subversion, Git) and technical understanding of common RDBMS systems; (e.g. Teradata, Oracle, Snowflake)
Preferred qualifications, capabilities, and skills:
- Familiarity with the latest technology trends, such as Databricks, is a plus.
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 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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Athena AWS Banking Big Data Databricks Data governance Data pipelines Data quality EC2 Engineering Finance Git Hadoop HDFS Java Machine Learning ML models Oracle Pipelines Python R RDBMS Research Scala Security Snowflake Spark SQL STEM Teradata
Perks/benefits: Career development Competitive pay Health care Wellness
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.