Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.

One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.

• Developing testing automation that provide timely, useful, and actionable independent insight on the operational health of Bank of America's processes.
• Work closely with process owners in the Front-Line Units and Control Functions (FLUs/CFs) to obtain an understanding of their processes, including underlying data, flows, and controls, and to identify risks to successful execution, so that appropriate testing and monitoring can be developed.
• The Senior Automation lead will be responsible for documenting the test requirement and convert the test requirements into automated tests via Python and SQL. They will also be leveraging machine learning techniques to enable data driven testing approaches.
• Managing oversight of implementation designs and codebase and supervise the work of Automation Specialists, and perform peer review of the code
• Designing a utility for migration of codebase from Legacy tooling to Python and leverage SDLC/Agile development, understand Coding standards and best practices.
• Working with Process Owners, Data Provides and App managers to understand more complex test cases and create bespoke automation solution

• Bachelor's degrees or above in fields including but not limited to: Data Science, Business Analytics, Business Management, Mathematics, Computer Science, Operations Research, Industrial Engineering or related subjects
• 5+ years of relevant work experience
• Applies critical thinking and connects the dots on how processes relate to one another.
• Demonstrates understanding of and passion for the "why".
• Looks around the corner, explores uncharted territories with an "outside-in" perspective.
• Life-long learner who not only assertively educates self, but encourages others to learn and grow.
• Feels ownership and accountability for delivering high quality work, able to prioritize effectively, adapt, and meet strict deadlines.
• Ability to recommend and implement process control improvements.
• Strong written, verbal, presentation creation and delivery skills.
• Communications are timely, concise, easy to follow and tailored to topic, audience, and competing priorities.
• Exercises excellent judgment, discerning appropriate moments to challenge or insert point of view.
• Presentations tell a compelling story and influence action.
• Asks the next level of questions, applies context to determine direction.

• Strong Programming skills via Python and SQL and possibly other languages.
• Experience with Software Development Lifecycle principles.
• Experience building data architecture that is optimized for large dataset retrieval, analysis, storage, cleansing, and transformation.
• Experience with different types of testing including unit, integration, regression and performance testing.
• Experience using object oriented and functional programming to solve business problems.
• Experience in optimizing implementations for performance.
• Experience in performing thorough code reviews and guiding junior developers.

• Experience managing large codebases.
• Experience automating processes working with various types of data including structured data in relational databases and Hadoop as well as various types of unstructured/semi-structured data (messaging payloads, documents, etc.).
• Experience in Bitbucket, GIT, Quartz (internal candidate only), Jenkins, Ansible, SQL, Spark, Hadoop.
• Experience automating testing of code.
• Experience with container-based applications.
• Experience how to build scalable solutions which efficiently use hardware across multiple different platforms.
• Experience handling large amounts of data and how to efficiently parallelize calculations using spark and dask.