Gen AI Engineer II

1. Experience working on GenAI implementations
2. Experience with Machine learning models
3. Ability to co-ordinate and communicate as we build AI/ML solutions

PURPOSE
The purpose of this role is to deliver on business questions and big ideas that pan across the enterprise. The role will leverage analytics, insights and advanced methodologies within data science to improve the quality and speed of data derived insights. This role will bridge functional lines across the enterprise; overcome barriers and inherent silos to leverage data insights to address organizational needs.

RELATIONSHIPS
This position will report to a Director, Rapid Analytics. The role will work closely with the Sr Manager, Rapid Analytics. The primary stakeholders will be the Finance Insights & Enterprise Solutions (FIES) leadership and Enterprise Data and Advanced Analytics (EDAA) leadership. Extensive interaction will also be required with the Novo Nordisk Enterprise Insights (EI) and EDAA team members. Broader collaboration partners include finance, IT market access. medical, etc as relevant business needs come up. External relationships stakeholders are contractors, secondary data vendors and IT experts as needed.
ESSENTIAL FUNCTIONS
Analysis
Deliver across descriptive, diagnostic, and predictive analytics.
Pioneer new ways to generate analytical insights through a deep understanding of existing data assets.
Utilize existing analytic tools including Python, R, Alteryx, etc. to derive insights from complex data sources.
Implement AI/ML techniques as needed to enhance data analysis and predictive modeling.
Explore and apply GenAI as needed to create innovative data solutions
Identify gaps in current analytical pathways and recommend enhancements to better support business needs
Identify ways of better leveraging and combining insights across existing enterprise-wide data sources
Support efforts to explore untapped data sources internally and externally
Provide input for organizational priorities in data purchases
Explore new tools to gain greater efficiencies in deriving analytical insights


Collaboration
Develop close relationships with the FIES/EDAA leadership team stakeholders
Work seamlessly and closely collaborate with EI and EDAA team members
Effectively work with Data Strategy and IT to ensure data and technical resources are available for data exploration.
Collaborate closely with privacy and compliance to access data sets in a compliant manner
Facilitate communication and collaboration between data teams and other business functions as needed
Democratize sharing of data and insights to the broader EI and EDAA community and ensure transparency of data and insights to all relevant stakeholders

Communication
Develop and deliver impactful presentations to key stakeholders and other leadership as needed
Clearly articulate data insights and analysis results to both technical and non-technical audiences.
Share learnings across the broader FIES organization to support a unified business strategy
Create comprehensive documentation and reports to support data-driven decision-making

QUALIFICATIONS
An innate curiosity is required
A Bachelor 's degree in Math, Science, Statistics, Computer Science or Engineering required
A minimum of 4-6 years of relevant experience in analytics required; masters degree may satisfy years of experience requirements
Experience with statistical programming language required
Experience with BI tools is required (Tableau, Qlik, Power BI preferred)
Experience with IQVIA, Komodo, or Symphony and other secondary industry sources is required
Strong analytical and problem-solving skills required
In-depth knowledge and experience in data analysis to support business processes
Handles business questions/analysis with high complexity
Acts as a resource for colleagues with less experience (eg: interns, external contractors)
Ability to works independently with minimal guidance