Provide technical leadership and oversight in analytical solutions development as related to data engineering initiatives and AI cloud infrastructure
Develop strategies and roadmaps in cloud and big data that foster innovation in AI and cloud computing
Lead a team focused on data and insights to solve cutting-edge opportunities, drive superior customer experience, and transform our business
Collaborate with technology leaders, business partners, and peer groups regarding long and short-range AI cloud and big-data goals
Recommend and drive innovative solutions as they pertain to data engineering, which anticipates the future direction of the business, its drivers, and solution strategy
Drive the globalization of capabilities for the organization that determines redundancy and re-engineering opportunities
Work closely with business & function partners to determine how information solutions can be leveraged to support business strategies, capabilities, and processes
Lead architecture team to develop Information management solutions using AWS and/or Azure services such as Cloud computing, Data Pipeline, File storage & Database Service.
Architect and design analytical solutions by using and applying appropriate methodology – including, but not limited to machine learning, natural language processing, image processing, simulation, forecasting, scenario analysis, and mathematical programming
Implement and maintain compliance and controls for all relevant regulations (FDA, SOX, CFR, GDPR, HIPAA) and policies that apply to healthcare
Develop, execute, and manage big data projects within the defined scope. Expedite, manage, and coordinate a multitude of interrelated project activities within the constraints of human and financial resources and changing priorities to ensure the successful completion of projects.
Manage communication and negotiation with suppliers and partners to obtain required solution design, sizing, and cost optimization
Coordinate resources to ensure project needs are addressed and effectively assign tasks and deliverables to team members based on their abilities.
Constantly improve system performance and reliability through better tools, processes, and monitoring systems
Drive the adoption of new technology and methods through evaluation and feasibility research
Supervises, motivates, and mentors cross-functional /cross-divisional project teams of project managers, data engineers, developers, and validation analysts.
Serve as liaison between various business and IT teams
Ensure compliance with Abbott quality and regulatory policies and procedures
Partner with Product Owners to align the roadmap with the technical design and strategy.
Review and ensure application designs are consistent, maintainable, flexible, and cost-effective solutions
Ensure effective systems operations between the suppliers and Abbott Plan/Build organization
Requirements & Skills:
Bachelor’s degree in the field of computer science, engineering, or equivalent relevant experience/ Master’s Degree preferred
10-15+ years of application development experience in data engineering, big data platforms, AI cloud, and/or digital products.
Expertise in Big Data Engineering, Delivery Management in the Analytics domain, data warehousing solutions, and Data application development
Proven capability in identifying value with new and emerging technologies. Experience with cloud and big data implementation projects on Azure and/or AWS
Strong customer-centric approach with outstanding leadership and organizational skills
Ability to communicate complex quantitative analysis in a clear, precise, actionable manner
Excellent vendor management skills
Ability to prioritize and triage deadline-driven tasks in a high-pressure environment
Ability to manage 3-4 direct reports as well as external partner resources
Ability to dive into solution design and engineering (Hands-On skills)
Experience working in an FDA-regulated business (e.g. validated software related to medical, pharmaceutical, or life sciences products) is preferred.
