Vacancy expired!
Job Description:
Position Summary Provide leadership, technical direction, and oversight to a team delivering technology solutions for critical functions around Change, Project and Work management tools within the Bank. Development team is working on reengineering these core applications & processes through integration, simplification and automation.- Building the Solution Right
- Design, develop and be accountable for feature delivery.
- Apply enterprise standards for solution design, coding and quality.
- Ensure solution meets product acceptance criteria with minimal technical debt.
- Responsible for compliance and security items and audit support at the team level.
- Act as a liaison for production activities/issues.
- Investigate and recommend best practices and process improvements. Work Planning and Execution
- Work with the Product Owner to ensure that product backlog/requirements are healthy, with clear acceptance criteria.
- Guide the team on work breakdown and execution.
- Team Mentorship
- Play a team lead role (as an individual contributor) and mentors the team.
- Guide team members with skills and practices (planning & estimation, peer reviews and other engineering practices).
- Identify skill and role gaps, and work with Sr. Technology Manager to address them.
- Work with Technology Manager in creating resource contingency plans where required.
- Expert knowledge of RDBMS and non-RDBMS systems (both data warehouse and data lake architectures strongly preferred)
- Experience manipulating data structures (SQL, Python, json, and XML) to support advanced multidimensional, predictive, and statistical analysis
- Strong knowledge of machine learning algorithms, optimization, and best practices for tuning hyperparameters
- Experience with batch and online machine learning methods
- Ability to explain and justify chosen model pre-training strategies
- Experience explaining model outcome and performance
- Experience with NLP models, lemmatization, and CNN or SVM
- Experience with ETL, ELT and blending of data optimized for performance, integrity and scalability
- Advanced knowledge of Tableau with both cube (OLAP) and relational data sources
- Tableau API knowledge with Python and/or JavaScript for integration and scheduling
- Data blending, dashboard parameterization, workbook traces, and optimization
- Knowledge of dashboard formatting best practices, working within ADA guidelines
- Experience working in an Agile/Scrum development lifecycle
- Experience with CICD production deployment, change management, and QA
- Experience working in a highly-regulated banking environment
- Critical Tools
- Microsoft SSAS (data model development)
- Alteryx
- Python (Scikit-Learn and TensorFlow)
- Oracle SQL / ODI
- SQL Server / SSIS
- Tableau
- Knowledge of Enterprise Risk Domain, and other process domains
- Knowledge of PMI, Systems Development Life Cycle (SDLC), Agile (SCRUM and SAFe), and/or Six Sigma (Lean) methodologies.
- Banking domain knowledge.
- Ability to foster strong collaboration among team members and multitask effectively
- Building the Solution Right
- Design, develop and be accountable for feature delivery.
- Apply enterprise standards for solution design, coding and quality.
- Ensure solution meets product acceptance criteria with minimal technical debt.
- Responsible for compliance and security items and audit support at the team level.
- Act as a liaison for production activities/issues.
- Investigate and recommend best practices and process improvements. Work Planning and Execution
- Work with the Product Owner to ensure that product backlog/requirements are healthy, with clear acceptance criteria.
- Guide the team on work breakdown and execution.
- Team Mentorship
- Play a team lead role (as an individual contributor) and mentors the team.
- Guide team members with skills and practices (planning & estimation, peer reviews and other engineering practices).
- Identify skill and role gaps, and work with Sr. Technology Manager to address them.
- Work with Technology Manager in creating resource contingency plans where required.
- Expert knowledge of RDBMS and non-RDBMS systems (both data warehouse and data lake architectures strongly preferred)
- Experience manipulating data structures (SQL, Python, json, and XML) to support advanced multidimensional, predictive, and statistical analysis
- Strong knowledge of machine learning algorithms, optimization, and best practices for tuning hyperparameters
- Experience with batch and online machine learning methods
- Ability to explain and justify chosen model pre-training strategies
- Experience explaining model outcome and performance
- Experience with NLP models, lemmatization, and CNN or SVM
- Experience with ETL, ELT and blending of data optimized for performance, integrity and scalability
- Advanced knowledge of Tableau with both cube (OLAP) and relational data sources
- Tableau API knowledge with Python and/or JavaScript for integration and scheduling
- Data blending, dashboard parameterization, workbook traces, and optimization
- Knowledge of dashboard formatting best practices, working within ADA guidelines
- Experience working in an Agile/Scrum development lifecycle
- Experience with CICD production deployment, change management, and QA
- Experience working in a highly-regulated banking environment
- Critical Tools
- Microsoft SSAS (data model development)
- Alteryx
- Python (Scikit-Learn and TensorFlow)
- Oracle SQL / ODI
- SQL Server / SSIS
- Tableau
- Knowledge of Enterprise Risk Domain, and other process domains
- Knowledge of PMI, Systems Development Life Cycle (SDLC), Agile (SCRUM and SAFe), and/or Six Sigma (Lean) methodologies.
- Banking domain knowledge.
- Ability to foster strong collaboration among team members and multitask effectively
- Building the Solution Right
- Design, develop and be accountable for feature delivery.
- Apply enterprise standards for solution design, coding and quality.
- Ensure solution meets product acceptance criteria with minimal technical debt.
- Responsible for compliance and security items and audit support at the team level.
- Act as a liaison for production activities/issues.
- Investigate and recommend best practices and process improvements. Work Planning and Execution
- Work with the Product Owner to ensure that product backlog/requirements are healthy, with clear acceptance criteria.
- Guide the team on work breakdown and execution.
- Team Mentorship
- Play a team lead role (as an individual contributor) and mentors the team.
- Guide team members with skills and practices (planning & estimation, peer reviews and other engineering practices).
- Identify skill and role gaps, and work with Sr. Technology Manager to address them.
- Work with Technology Manager in creating resource contingency plans where required.
- Expert knowledge of RDBMS and non-RDBMS systems (both data warehouse and data lake architectures strongly preferred)
- Experience manipulating data structures (SQL, Python, json, and XML) to support advanced multidimensional, predictive, and statistical analysis
- Strong knowledge of machine learning algorithms, optimization, and best practices for tuning hyperparameters
- Experience with batch and online machine learning methods
- Ability to explain and justify chosen model pre-training strategies
- Experience explaining model outcome and performance
- Experience with NLP models, lemmatization, and CNN or SVM
- Experience with ETL, ELT and blending of data optimized for performance, integrity and scalability
- Advanced knowledge of Tableau with both cube (OLAP) and relational data sources
- Tableau API knowledge with Python and/or JavaScript for integration and scheduling
- Data blending, dashboard parameterization, workbook traces, and optimization
- Knowledge of dashboard formatting best practices, working within ADA guidelines
- Experience working in an Agile/Scrum development lifecycle
- Experience with CICD production deployment, change management, and QA
- Experience working in a highly-regulated banking environment
- Critical Tools
- Microsoft SSAS (data model development)
- Alteryx
- Python (Scikit-Learn and TensorFlow)
- Oracle SQL / ODI
- SQL Server / SSIS
- Tableau
- Knowledge of Enterprise Risk Domain, and other process domains
- Knowledge of PMI, Systems Development Life Cycle (SDLC), Agile (SCRUM and SAFe), and/or Six Sigma (Lean) methodologies.
- Banking domain knowledge.
- Ability to foster strong collaboration among team members and multitask effectively
Vacancy expired!