VP- IT Data &
The VP of Data & Analytics defines and sets the enterprise strategy and plan to use analytics to advance its business mission and goals. The VP of D&A directs analytics processes, may be responsible for analytics support to other executives and for using analytics to drive innovation and enterprise objectives. In addition, the VP of D&A knows the flow of information, understands its context, and is aware of how it links across the enterprise with regard to deriving value within and for the business. The VP of D&A sets the strategy for enterprise analytics as a business discipline and for using data as an asset to meet enterprise's objectives.
Collaborate to set policy and standards regarding the use of data and analytics in the organization
Create mechanisms to use data as a strategic asset throughout the enterprise
Organize and coordinate the organization's disparate data streams in preparation for analytics and to promote holistic mission-critical analysis
Innovate and expand the organization's research and analytics offerings
Oversee the development of analytic metrics that establish a consistent, coherent approach to data throughout the organization to tie analytics into all enterprise functions
Promote analytic usage and skills among management and employees through programs that training, mentoring, and the selection of appropriate analytics tools
Provide analytics results directly to business users, allowing them to identify trends and insights;
Create a culture that promotes data-driven decisions backed by investigation and collaboration around data
Locate the new and/or best sources for data to drive more effective and efficient analytics
Measure the ROI of analytics initiatives and create a standard benchmark program for measuring analytics value
Represent the enterprise to external bodies in the development of industry analytical policies and standards.
Recruit and develop a data science organization for corporate exploitation of big data and the liberation of dark data, using cloud and social era tools and techniques for data analytics, mining and visualization.
Create and oversee a centralized service for sourcing external analysis to ensure quality, traceability, timeliness, usability and cost-effectiveness.
Scan the horizon for emerging analytical skills, techniques, technologies and, where appropriate, tools to ensure their timely introduction for competitive advantage.
Create and expand analytics based on open data offerings to empower citizens and to enable better government and commercial services.
Reporting Line and Team Structure
The VP of D&A organizes and builds the analytics organization that consists of analytics leaders, data and information management leaders, technical professionals including, but not limited to:
Organization, Governance and Key Relationships
The VP of D&A participates in the following governance domains: business strategy and planning, IT and analytics decision-making, data acquisition and use, analytical tools acquisition and methodologies, IT strategy and planning, the ethics of data use, risk and compliance, and marketing strategy and planning.
The VP of D&A needs to influence and build strategic relationships with the following stakeholders:
Business unit executives —
The VP of D&A solicits input, and gains an understanding of the analytics issues and opportunities from each business unit and the key process owners, and integrates their requirements into the development of the enterprise analytics strategy.
Enterprise data and analytics service providers —
The VP of D&A will develop and maintain relationships with key external providers of data and analytical services.
A Master's degree in computer science, business analytics, applied mathematics, statistics, engineering, economics, social sciences or related fields is preferred.
15 years of experience in data and analytics leadership or comparable experience
Proven track record of working with MDM, big data and social data, as well as cloud-based delivery of solutions
Five or more years of progressive leadership experience in leading cross-functional teams and enterprise wide programs, operating and influencing effectively across the organization and within complex contexts
Preferably five or more years of experience in digitally advanced enterprises
Experience in integrating complex, cross-corporate processes and data models,
Strategy and management consulting experience desirable
Leadership and organizational skills and knowledge
Solid grounding in applied mathematics and statistics
Keen understanding of business objectives and ability to apply this understanding to recommend and implement product development for difficult and complex technical issues
Ability to share information across business functions; manage stakeholders with diverse interests; make actionable recommendations
Excellent analytical, communication, organizational and presentation skills
Develop solutions which focus on how to successfully extract insight from big data
Strong, results-driven personality with a high level of enthusiasm, energy and confidence
Should be passionate and bring expertise in creating a data discovery-driven culture
A background in project management
Excellent interpersonal skills; able to work across business lines at senior levels to influence and effect change to achieve common goals
Demonstrated leadership; proven track record of leading complex, multidisciplinary talent teams in new endeavors and delivering solutions
Strategic technology planning experience; experience in strategic technology planning and execution, and policy development and maintenance
Ability to effectively drive people, process and technology change in a dynamic and complex operating environment
Excellent oral and written communication skills, including the ability to explain analytic process concepts and technologies to business leaders, as well as business concepts to technologists;
WHQ - Estero - Only
Regular Full Time