At Abbott, we're committed to helping people live their best possible life through the power of health. For more than 125 years, we've brought new products and technologies to the world -- in nutrition, diagnostics, medical devices and branded generic pharmaceuticals -- that create more possibilities for more people at all stages of life. Today, 99,000 of us are working to help people live not just longer, but better, in the more than 150 countries we serve.
This role will require a visionary mindset! The ideal candidate will be an accomplished customer analytics leader proficient in data management and analytics who can; understand and manage the on-going operation of a data infrastructure for the US Abbott Diabetes Care division. This individual is responsible for developing and executing the Divisions big data strategy that includes maintaining existing data, identifying and integrating new data sources and establishing and reporting centralized KPIs to enable fact-based decision making. This person is the face of the data science team for internal clients who fosters collaborative environment, and ideates with the business units to develop a suite of scalable advanced analytics solutions. The IT BRM (Business Relationship Manager) will be responsible for working closely with Abbott Diabetes Care (ADC) business partners and serve as the liaison between business partners and shared services delivery teams to ensure that business needs and requirements are being addressed across Plan, Build, and Run areas. Candidate should be aware of the evolution of technologies and consider regulations relevant to the business area.
Core Job Responsibilities
Establish platform strategies for existing and new data and develop analytical capabilities including shared services (i.e. central governance, data stewardship, and prioritization) in partnership with the business analytics teams
Partner with the delivery team for data acquisition and ownership along with deployment to business teams
Provide subject matter expertise in several of following analytic areas: machine learning, artificial intelligence, deep learning, recommendation engines, predictive modeling, web/app analytics, A/B testing, search algorithms, data visualization, natural language processing, and content analytics
Scope projects, ensure estimates, budgets and deadlines are established for milestone reporting and successful execution
Proactively analyzes business processes; elicits, analyzes, and documents business requirements; identifies alternative solutions, assesses feasibility and makes recommendations typically seeking to exploit and leverage new or existing IT technology components
Champion change and innovation. Stimulates creativity, innovation and open to new ideas.
Constant awareness of corporate IT standards, technology trends, evolving regulatory requirements and their applicability to the business process and influences the IT stakeholders and partners in addressing these evolutions in the most efficient way.
Manage collaboration and partnership with Corporate IT Services including Plan/Build/Run teams
5+ years of experience in leading the development and delivery of Big Data, Data Warehousing, and Data Integration solutions with career progression into roles of increasing responsibility
5+ year working with business information technologies such as Power BI and Tableau
Experience in quantitative analytics (marketing analytics, statistical modeling, machine learning, digital attribution, forecasting, optimization, predictive analytics)
Strong understanding of database design and development for scalable business solutions
The ability to clearly explain and discuss complex systems and analytical solutions within multiple levels of the organization (technical and non-technical) adapting to the audience
Excellent internal partner (including Executive level) and experience with external vendor management skills
Excellent communication skills both oral and written with strong analytical and presentation skills including advanced fluency with Microsoft business applications
BS degree in Data Science, Computer Science, Mathematics, Finance, Business or related field
Experience building service-oriented architectures and proficiency with distributed systems built on the cloud (AWS, Azure, Google Cloud)
Knowledge and understanding of existing, new and emerging information technologies, and high scale data processing environments
Basic financial management and project management knowledge
MS degree is Data Science, Computer Science, Mathematics, Finance, Business or related field
Experience leading teams - both with direct staff and indirect project teams
Agile development and delivery
Associated topics: data center, data engineer, data integrity, data quality, data scientist, data warehousing, erp, sql, sybase, teradata
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.