Reporting to the VP of Cognitive Data Services and accountable to the Business Unit Sector CIO?s, this role will work closely with the respective line of business and shared service technology leaders.

The Role Is Accountable For:

• Lead the strategic vision for the Enterprise Shared Service (ESS) Analytics Platform by understanding the future requirements and assessing current and available technologies to meet that vision
• Continuously evolve the technology platform to take advantage of emerging technologies that facilitate obtaining greater value from Aramark data
• Utilize cloud based technology and AI to optimize the data platform to improve service levels, reduce costs, and increase speed to value from data assets
• Establish technology and processes that democratize data throughout the organization to the account level
• Collaborate with the Data Product Owners and Line of Business VPs to shape solutions for new domains and create estimates / plans for delivery
• Lead engineering organization to deliver features defined by the Data Product Owners
• Establish work intake processes to manage priorities across business lines
• Provide professional development and mentoring to the data engineering shared service team.
• Ensure the quality, reliability, and scalability of the data products and the underlying data infrastructure
• Estimate and manage on budget delivery of projects
• Utilize data to measure data delivery / availability

In Addition This Role Will:

• Be expected to play a leadership role for the broader technology community at Aramark. Acting as a role model and coach for others on how service to drive business results.
• Proactively engage business and technology executive leadership team on analytics strategy, challenges, opportunities and business innovation.
• Serve as principal talent manager by ensuring that Aramark across its business and functions develops a pipeline of highly skilled analytics leaders capable of executing the company?s service strategies.
• Coach technology leaders and extended staff to maximize their effectiveness and long-term development on service related competencies.
• Maintain full administrative responsibility for analytics transformation including business case, budgets, staffing, administration, planning, etc.

• A minimum of 10 years of data technology delivery experience.
• Prior experience implementing and operating cloud based data platforms. (AWS, Google, Azure, Snowflake, Databricks)
• Experience in high influence models leading teams/groups of diverse professionals and managing operations in a distributed organization.
• A solid grasp of data management principles and technologies such as data modeling, data analysis and statistics to tell a narrative and/or generate data-driven insights
• A bachelor?s degree in technology (computer science/engineering), business administration or a related field is required.