Associate VP Data Science

3 weeks ago

Oak Brook, United States CareerBuilder Full time

Responsible for the strategy and responsible application of artificial intelligence (AI) enterprise wide. Leads a team of data scientists and statisticians who are responsible for evaluating, creating, monitoring, and consulting on AI solutions and program evaluation, and closely collaborates and coordinates with business intelligence analysts and architects to efficiently access data. Acts as subject matter expert and facilitator for Enterprise Artificial Intelligence Governance Committee. Routinely interacts with senior executives, clinical leaders, and vendor executives.
MAJOR RESPONSIBILITIES
Develops data science strategies that ensure an enterprise approach to artificial intelligence (AI) and applied advanced analytics. Plans and directs development, maintenance, and acquisition of AI solutions, within the governance guidelines of responsible AI throughout the enterprise.
Investigates and rigorously evaluates new technology options in anticipation of future data, information, and reporting needs. Identifies and evaluates potential new revenue streams generated by analytic and measurement innovations developed in-house. Presents work and innovations at industry conferences and meetings.
Facilitates the cross-functional executive AI governance committee, including raising topics for guidance, issue escalation, and new developments in AI.
Guides the development and oversight of data platforms to support AI and advanced analytic computing. Facilitates and manages collaboration between clinical/business and analytics resources to deploy AI solutions consistent with clinical and business workflow needs.
Accountable for budgeting and management of expenses related to cloud computing and statistical tools.
Serves as expert consultant regarding content and methods to both internal and external contacts, including executive leaders, on data science techniques, results interpretation, and impact on operations. Communicates effectively with both internal and external clients, explains complex statistical and AI methods and links results to operational objectives and strategic enterprise initiatives.
Establishes the strategy to gauge the success of the business unit, in alignment with organizational goals. Ensures that resources and processes enable the successful achievement of enterprise-level imperatives and business unit integration efforts.
Executes and establishes processes for effective data governance, congruent with enterprise guidelines and directives.
Researches and stays updated on new developments related to artificial intelligence solutions and technology, identifies risks and benefits of the emerging technology and potential enterprise impact.
Performs human resources responsibilities for staff which include interviewing and selection of new employees, promotions, staff development, performance evaluations, compensation changes, resolution of employee concerns, corrective actions, terminations, and overall employee morale.
Develops and recommends operating and capital budgets and controls expenditures within approved budget objectives.
Responsible for understanding and adhering to the organization's Code of Ethical Conduct and for ensuring that personal actions, and the actions of employees supervised, comply with the policies, regulations, and laws applicable to the organization's business.
MINIMUM EDUCATION AND EXPERIENCE REQUIRED
Level of Education : Master's degree or PhD in Data science, statistics, math, or other related field requiring advanced analytics.
Years of Experience:

Typically requires 10 years of experience, with 5 years of management experience leading data science, statistical/analytic teams and multi-disciplinary work teams.
MINIMUM KNOWLEDGE, SKILLS AND ABILITIES (KSA)
Exceptional communication, negotiation, and leadership skills. Excellent presentation and writing skills.
Ability to think strategically and innovatively and translate to realistic plans, projects, and collaborations.
Extensive experience solving analytics problems using artificial intelligence methods, including machine learning and natural language processing. Extensive experience working with large data sets, manipulating, and analyzing complex, high-volume, high dimensional data from varying sources.
Ability to build collaborative working relationships, strong abilities in relationship management. Effective team leadership skills with demonstrated ability to manage multidisciplinary, high performance work teams and development groups, demonstrated competency in the execution of multiple projects, including managing resources to meet goals.
Demonstrate self-directed, results oriented and creative approach to projects and solutions. Desire to listen and learn with significant intellectual curiosity.
Knowledge and experience with cloud computing platforms.
Knowledge of the risks of artificial intelligence as applied to health care.
Demonstrate strong ability to develop efficient and effective solutions to diverse and complex business problems; results oriented and creative approach to projects.
This is a remote role with travel as needed within the enterprise.
Employees can live in any of the following states: AL, AK, AR, AZ, DE, FL, GA, IA, ID, IL, IN, LA, KS, KY, ME, MI, MO, MS, MT, NC, ND, NE, NH, NM, NV, OH, OK, PA, SC, SD, TN, TX, UT, VA, WI, WV, WY.
This job description indicates the general nature and level of work expected of the incumbent. It is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the incumbent. Incumbent may be required to perform other related duties.

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