Location: Boston,MA, USA
Position: Sr. Technical Program Manager
Location: Boston, MA / Arlington, NJ
Duration: Full time
Job Description:
The ideal candidate will have experience in customer-facing roles and success leading deep technical architecture discussions with senior customer executives, Enterprise Architects, IT Management and Developers to drive Data Platform and Advanced Analytics solutions to productions
5+ years of success in consultative/complex data engineering projects including architecture, design, implementation, and/or support of highly distributed applications required
Experience in managing various stakeholder relationships to get consensus on solution/projects
Acknowledged for driving decisions collaboratively, resolving conflicts and ensuring follow through with exceptional verbal and written communication skills
Ability to orchestrate, lead, and influence virtual teams, ensuring successful implementation of customer projects
Presentation skills with a high degree of comfort with both large and small audiences (Senior Executives, IT management, Data Engineers, ML Engineers and Data Scientist)
Experience working in banking environment and familiarity with lending data types and processes - origination, collections, FICO, etc.)
Extensive knowledge in data visualization and analytical tools
Strong technical acumen, project management, business development and communication skills
Experience with project leadership overseeing a team of technical experts, with a demonstrated ability for time management and mentorship
Ability to explain to internal and external stakeholders the meaning of data insights, data analytics and the rationale for a particular analysis as it was performed
Technical aptitude and experience to learn new technologies and understand relevant cloud trends
Bachelor s Degree in science, Mathematics, Engineering, or Statistics or related quantitative STEM field
5+ years of experience in project/product planning & implementation experience related to data management, reference data, data warehousing, BI & Analytics, and ETL