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We are looking for a seasoned data engineering and analytics leader to lead and drive decisions behind all data infrastructure and core Analytics platforms. The Director Data Engineering and Analytics, assumes a strategic role in developing vision, plan, and execution operating model. With responsibility for Calla Data Engineering & Analytics (10-15 individuals), the Senior Director will establish and maintain the overall data & analytics strategy and roadmap, instilling best-in-class capabilities. This leader partners with senior leaders to deliver innovative Enterprise Data, Business Intelligence and Analytics solutions for the organization. Considering both internal and external stakeholders, this professional will leverage data to provide a vision for strategic growth, consumer insights, and growth initiatives.

ROLES AND RESPONSIBILITIES

Build and Manage the Architecture, Data Engineering, SAP Business Intelligence and Visualization Reporting teams responsible for company-wide analytics and the development of complex dashboards and reports to design premier reporting, data mining and data visualization.
Define Data & Analytics function strategy, opportunity, roadmap, and priorities.
Build Machine Learning and AI strategy.
Understand current state business strategies and NextGen strategy direction
Understand the capabilities and value propositions of the current product portfolio and roadmap and the resulting Industry opportunities, challenges, and business concerns.
Collaborate with and influence leadership so that your teams work directly impacts company strategy and direction.
Develop deep partnerships with business and IT teams to deliver on major cross-functional measurements with good data quality.
Communicate effectively to all levels of the organization, including executives.
Experience instilling a culture of ownership, collaboration, and results.
Ability to quickly identify an opportunity and recommend possible technical solutions.
Impact business in utilizing data-driven insights to drive growth and transformation.
Help the team improve with the usage of data engineering best practices.
Determine, develop, and provide key metrics and insights across all digital media platforms (web, mobile web, apps, etc.), and communicate data insights and recommendations to all levels of management in a clear and concise manner, enabling timely and informed business decisions.
Re-engineer existing processes as necessary to incorporate new and improved analytic frameworks.
Evaluate, select, and implement new technologies and development tools for reporting, dashboards, and data modelling, while articulating the business case for investments.
Participate in annual budgeting process for Data and Analytics needs.
Research and test new tools and technologies

TECHNICAL COMPETENCIES (Knowledge, Skills & Abilities)

Bachelor's degree in Business Administration, Computer Science, Applied Mathematics or equivalent work or educational experience required. Advanced degree preferred.
Minimum fifteen years of experience in enterprise data management, with minimum ten years in business intelligence, analytics, and applied insights using advanced methodologies. Demonstrated experience driving business outcomes required.
Minimum of seven years of management experience required; ten years preferred.
Deep Enterprise Data, Business Intelligence, Analytics, and Insights functional expertise and leadership experiences across complex and large, data driven businesses required.
Demonstrated experience driving enterprise data, analytics, and insights solution in Cloud based environments such as Snowflake, SAP and Azure is required.
Deep knowledge of industry best practices and standards to actively promote the effective and efficient use of Enterprise Data, Business Intelligence solutions to meet management objectives.
Experience integrating Data Science, AI, and ML into Business Intelligence and analytical insights preferred.
Demonstrated ability to drive a large-scale change and to act as a positive disruptor that can view opportunities versus barriers required.
Ability to work with senior leaders in both business and technology to anticipate, interpret and challenge thinking when appropriate to align organizational goals and resources.
Proven ability to lead change and build teams.
Proficient verbal and written skills to effectively communicate.
Effective leadership and negotiation skills.
Ability to interact with all levels of the organization
Experience leading project teams

EDUCATION AND EXPERIENCE

Bachelor's degree in Business Administration, Computer Science, Applied Mathematics or equivalent work or educational experience required. Advanced degree preferred.
Minimum fifteen years of experience in enterprise data management, with minimum ten years in business intelligence, analytics, and applied insights using advanced methodologies. Demonstrated experience driving business outcomes required.
Minimum