Director - Business Intelligence Strategy - Innovation - VHA - Irving

Job description
The Director, Business Intelligence will evaluate the potential value of new innovative offerings. The Director will determine the business model most capable of ensuring the profitable delivery of potential offerings and develop commercialization strategies for those offerings. The Director is responsible for creating the profit and loss statements and three to five year projections for new offerings/businesses. As the Innovation Practices Group moves from an activity-based MIP to a revenue-based MIP, the accuracy of the director, business intelligence’s financial propositions will lay the foundation for the department’s attainment of its goals as well as the attainment of VHA’s growth goals.


Responsibilities:
Shaping the narrative that articulates the offering’s value story to senior management
Designing a system of assets, capabilities, and revenue models to support a new offering
Identifying customer segments, and associated channels, for which to market a new offering
Driving strong links between research and business model to influence prototype design
Anticipating and modeling competitive responses
Defining market white space via scenario planning and modeling
Developing, deepening, and codifying knowledge in their domain
Review of all business intelligence deliverables in all phases of the innovation process by direct report/s
Present financials to the IPG Oversight Team and CFO
Assists IPG leadership with growth strategy development

Desired Skills and Experience
Bachelor/Master’s Degree in Business Administration, Finance, Accounting, Marketing or similar
Minimum 7 years’ experience with business modeling and/or strategic planning
Experience commercializing a new business (i.e., developing value propositions, segmentations, addressable market quantifications)
Health care experience is a plus
Knowledge of commercialization strategy
Knowledge of marketing methods (i.e., customer segmentation)
Knowledge of statistical segmentation approaches and statistical analytics packages (e.g., SPSS, SAS)
Deep knowledge of financial modeling techniques
Proficiency in Microsoft Excel
Skill with other Microsoft Office suite products

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