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The Director Enterprise Data, Analytics & AI is an IT leader that has accountability of the organization's data and analytics (D&A) assets to drive value for business stakeholders. This includes creation and management of data and analytics strategy, and execution of related programs and practices that drive measurable business outcomes and employ Artificial Intelligence in order to do so. This role involves establishing, leading and operating the D&A function; developing talent and mature D&A culture; building trust and managing data; and evolving technology capabilities. Maintain authority and accountability for exploiting the value of enterprise information assets, and of the analytics used to render insights for decision making, automated decisions and augmentation of human performance. Be the corporate leader of data-driven insights and use cases that help support the exploitation of strategic and tactical business opportunities. Build partnerships with executive leadership throughout the Boldt Group to establish the vision for managing data as a business asset — to exploit data and analytics capabilities to maximize the value derived from data assets. Define data and analytics vision, strategy and associated practices. Lead the creation (and assure the ongoing relevance) of the organization's data and analytics strategy set forth by the CITO, and CEO. Foster the creation of a data-driven culture, related competencies and data literacy across the enterprise. Lead these transformation efforts by developing D&A talent and maturing the capability of the organization. Establish and maintain trust in data assets by instituting governance mechanisms for data and algorithms used for analysis, analytical applications and automated decision making.
