DESCRIPTION:

Duties: Serve as technical product owner within the JADE Data Lake Services organization, working on product features and functionalities including data warehousing, data analytics, artificial intelligence and machine learning (AI/ML). Provide services that enable analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Help design and solution data products that do one or more of the following: apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets; create dynamic data reports and accelerate the firms’ internal/external data sharing capabilities. Collaborate with cross-functional teams across the firm, including engineering, architects, data science and business users to implement complex technical solutions. Provide technical solutions, including implementing architecture to accelerate clients’ migration to the cloud. Collaborate closely with the security and compliance team to ensure that the product meets the company’s and financial institutions’ regulatory requirements. Liaise with various stakeholders and cross-functional teams, articulating technical concepts to both technical and non-technical users. Stay abreast of technology and innovation trends.

QUALIFICATIONS:

Minimum education and experience required: Master’s degree in Information Systems, Electronic Engineering, Data Science, or related field of study plus 5 years of experience in the job offered or as Area Product Owner, Technical Product Owner, Data Analytics Associate/Analyst, or related occupation. The employer will alternatively accept a Bachelor’s degree in Information Systems, Electronic Engineering, Data Science, or related field of study plus 7 years of experience in the job offered or as Area Product Owner, Technical Product Owner, Data Analytics Associate/Analyst, or related occupation.

Skills Required: Requires experience in the following: end-to-end product lifecycle including defining product vision, creating product roadmaps, and prioritizing product features; data analysis; business intelligence (BI); data warehousing, data analytics, and artificial intelligence/machine learning (AI/ML) products used within the banking and finance industries, including Databricks, Snowflake, Jupyter Notebooks, AWS Cloud Platform, and Azure Cloud platform; data warehousing concepts including Extract-Transformation-Load (ETL), Software as a Service (SaaS), data streaming, data security, data validation, data reconciliation, and data governance; AI/ML concepts including predictive analytics, exploratory analytics, Linear Regression, and Logistic Regression; SQL; Python; designing and implementing data models within Snowflake; integrating Snowflake with other data products or BI tools such as Tableau, Databricks, or Starburst; SQL queries; performance optimization; and implementing data governance principles, security measures, and compliance requirements including PCI and SOC. Experience in the skills can be gained via graduate-level coursework, research, teaching, or internship experience.

Job Location: 575 Washington Boulevard, Jersey City, NJ 07310. 

Full-Time. Salary:  $187,460 - $190,000 per year.