Director - Data and Analytics

Main Objective:

The Director of  Data & Analytics defines the data and analytics strategy and data governance program for the organization.  The director will manage and lead in the planning, evaluating, and selecting the right data science capabilities for the enterprise and helping distributed analytics staff to have the best Data and Analytic skills, processes, and technologies possible.  The Director serves as an advisor to the leadership team to develop and deliver enterprise-wide solutions for complex data challenges, including developing and applying algorithmic models to derive insights, improve decision making, and automate processes.

Key Responsibilities:

• Defining Data & Analytics Strategy: Identifies and standardizes the use and governance of data and analytics.  This includes the governance of data and algorithms used for analysis, analytics applications and automated decision making.  Creates value by unlocking and sharing data and information in ways which will spur innovation.
• Establishing Data Governance: Cascades from data strategy into data governance to promote data access, quality, and analytical capability.  Governance can include a knowledge worker training program, a data stewardship model, and data standards.  Develops and maintains controls on data quality, interoperability, and sources to effectively manage risk associated with the use of data and analytics. Strives to reduce the cost of managing data and increase the value of the data.
• Identifying and Defining Data & Analytics Investments: Works with business and IT leaders to identify areas of technical needs for future data science capabilities. Drives the development and deployment of the data and analytics platform.  Identifies and prioritizes business projects and enterprise data initiatives utilizing data science capabilities.
• Advising and Reporting: Serves as the Data Analytics technical advisor.  Represents the data and analytics team and enterprise data stewards at leadership meetings and conferences.  Develops and gives oral presentations on the power and value of data.  Leads and/or serves on steering committees and helps leadership use its data effectively at these meetings.
• Facilitating Internal and External Collaboration: Collaborates with industry data experts to allow a proactive approach to improving insights derived from various data sources.  Applies expert knowledge and mastery of advanced mathematics/statistical/computer science methods, theories, and standards to analyze enterprise results and reports, relevant external publications, and conference papers. Recommends and pursues collaboration and provides appropriate technical guidance to ensure the success of such collaborations. Interacts with business areas and IT on data and analytics solutions.
• Identifying Opportunities for New Data Products: Lead strategy development for data and analytics products to ensure the program becomes pervasive throughout the organization and helps enable new revenue streams.  To support these endeavors, collaborate with the CIO to ensure that digital products are released on time, on budget and with high quality. Be a champion for the information services and related data and analytics capabilities.

Skills and Competencies:

• Excellent written, verbal, and interpersonal communication skills
• Expertise in data governance, data quality metrics, data analytics capabilities, and data lakes
• Ability to promote collaboration by unifying teams, setting common goals and incentivizing collaborative behavior
• Strong ability to build credibility, organize effectively, solve problems quickly, communicate clearly, and harmonize diverse and competing interests

Qualifications and Experience

• Bachelor’s degree in Data Science, Management Information Systems, Statistics, Analytics, Econometrics, or equivalent required; MBA/Master’s degree preferred.
• 15 years of progressively responsible relevant experience in data management, including creating partnerships, implementing data governance, and understanding the underlying technologies needed to enable data innovation across a midsized or large organization required.
• Experience in computer programming, query languages, and internet based data visualization platforms such as Tableau preferred.
• Demonstrated experience with developing data strategy, policies, and procedures, as well as successfully executing programs that meet or exceed expectations in a dynamic environment; experience creating tools and capabilities to assist with data discovery & collaboration, ensure data quality, and to load, clean, enrich, manage, and share data and metadata from a variety of sources required.
• Familiarity with big data technologies (e.g. Hadoop, HBase) and Extract Transform Load (ETL) tools required.

Reasoning Ability:

Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in analytical or diagram form and deal with several abstract and concrete variables.

All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.