AVP I, Data Engineering - Las Vegas - CreditOne

    CreditOne
    CreditOne Las Vegas

    2 weeks ago

    Description
    AVP I, Data Engineering
    Position Title : AVP I, Data Engineering
    Job Level: O1
    Reports To:
    Department: IT
    Has Direct Reports: Y
    Information Technology
    The Information Technology team supports every area of the Bank. Utilizing technology solutions to collect and interpret data for business strategies and providing infrastructure for all business operations. Puneet Rawal, the Chief Information Officer for Credit One Bank, explains why an IT professional should join his team by bringing up one word repeatedly: Growth, with a capital G. ""Individuals who have growth aspirations for their career will not find a better place. You want to be in a growing company that can support your growth. We provide that unique mix." Click here to learn more about the IT team.
    Position Summary
    This position is a part of the Data Technologies & Innovation (DTI) team . This team is based in the Enterprise Data Engineering department and supports the entire bank. The mission of the DTI team is to take the enterprise from its current state of analytics to be more predictive and prescriptive using advanced analytical techniques.
    The AVP of Data Engineering is a subject matter expert in data analytics and business analysis. They will lead a team of data engineers to perform analysis, design, optimization activities and deliver analytical solutions in support of analytical needs of the business across Credit One Bank. They also play a critical role in defining and creating the future state of data and analytics in the enterprise . Team members are expected to build trust and relationships through effective communication with both technical and non-technical partners within multiple departments to facilitate success. A successful individual in this role is a leader who contributes to the organization/departmental goals and leads the team to achieve these goals. They mentor and coach the team in business processes, data discovery, design efficiently , optimize analytical solutions, identifies opportunities to add value to the business and ensures on-time delivery of projects. They identify ways to keep their team motivated and deliver high value projects.
    Essential Job Functions :
    • Understands, interprets and translates development requirements into the necessary designs and documentation.
    • Determines how a system should work and how changes in conditions, operations, and the environment will affect outcomes, knowledge of products and system architecture.
    • Identifies and compiles data sets using appropriate tools to help predict, track, improve, and measure the success of key digital features and projects.
    • Responsible for documenting data requirements, data collection / processing / cleaning, and exploration data analysis, which may include utilizing statistical models / algorithms and data visualization techniques.
    • Must have the ability to create dashboards and analyze insights to help business performance in various reporting domains.
    • Work hands-on whenever needed as we are a growing team, and additional resources may not always be available
    • Knowledge of architectural, design, and coding best practices, including the ability to devise, defend, and communicate them to developer teams.
    • Triage techno-functional issues and facilitate resolution by assembling required teams.
    • Demonstrate understanding of various software delivery methodologies (waterfall, iterative, Agile), when and how to implement them successfully, and their respective pros and cons.
    • Work with platform squads to define engineering standards, best practices, and tooling required for the team.
    • Stay ahead of the curve by aligning architecture, user experience, and security with chapters and COEs.
    • Partner with product, technology, program management, and other stakeholders to prioritize and plan roadmap items.
    • Collaborate with cross-functional technology and product teams to build, test, and deploy products.
    • Identify opportunities to improve productivity and quality.
    • Serve as a mentor, technical leader, and thought leader for a talented team by challenging them and helping them grow.
    • Perform other duties as assigned.
    Position Requirements :
    • Bachelor's degree in computer science or equivalent industry working experience.
    • 15+ years of working experience in IT Organizations
    • At least 8 years of software development experience, preferably in Data Engineering (ELT/ETL, Visualization, Modelling etc.)
    • Demonstrable e xperience with Data science (Machine Learning / Notebooks etc. ).
    • Broad understanding of different technology patterns (Batch frameworks, API, Event-driven systems, Databases)
    • Experience with SQL & NoSQL databases (Oracle, Postgres, Elasticsearch, Cassandra, DynamoDB, Snowflake etc.) and file systems like Avro, Parquet etc.
    • Demonstrable e xperience with Kafka, Spark Streaming , Airflow, Flink & Logstash
    • Experience with analytics & visualization tools like Tableau, Superset, Kibana, Hive, Spark etc.
    • Experience in Agile Methodology for software development.
    • Proven experience in capacity planning for the team, estimations of new initiatives (effort and cost) for yearly planning cycle managing team budgets.
    • Proficient in verbal and written communication, creating reports and presentations to senior executives.
    • Experienced in using MS Office tools, JIRA, or other collaboration tools .
    • Experienced People management and performance management
    • Strong communication skills and collaboration skills to communicate to different audiences (technology leadership, business leadership, team members, etc.) appropriately.
    • Strong understanding of ITL framework and experience in change management, and problem management.
    Preferred:
    • Master's degree in computer science or equivalent industry working experience.
    • Demonstrable e xperience with AI ecosystems like (RAG, Agentic AI, and LLM's)
    • Technology certifications (AWS, Snowflake, Spark etc.)
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