Head of Global Data Engineering and BI - Must sit in Tempe, AZ o

Our client is looking for a Head of Global Data Engineering and BI to join their team. To support the clients journey to become a data driven organization, they are transforming their data platform and processes to enable an agile delivery model, maximize reusability, and leverage automation to improve the delivery quality and speed to market. Our client is looking for a leader to lead their Global Data Engineering and BI team and to lead the data platform transformation. In this role you will own the delivery of data products and solutions for various strategic initiatives, including Global Merchandising Excellence (pricing, assortments, promotions), Global Fuels (pricing), Global Loyalty, Supply Chain (merch COGS), Finance, Real Estate (analog & whitespace), B2C / B2B (payment transactions analytics), Operations (shrink and sales analytics), etc. The Head of Global Data Engineering and BI will report to the VP of Global Tech Enterprise, Data and Retail Technologies and lead a global team of approximately fifty employees (including open positions) and seventy-five contractors. This role will be a key contributor to driving company performance through achieving the clients data analytics strategy and fostering a data driven culture across the organization.
The role will require a high degree of collaboration across all business functions including the Global Technology and Global Data & Analytics teams. It will involve evangelizing effective data management practices, determining how to best leverage relevant existing and emerging technologies, and promoting better understanding and utilization of data and analytics. Working with key functional partners and stakeholders, internal technical subject-matter experts, suppliers, and industry experts having the right data, avoiding data bias by including data from varied sources, ensuring the fitness for use and quality of the data and providing the mechanisms to share/leverage common data solutions across the organization.

In this role, the Head of Global Data Engineering and BI, manages and controls:
Logical and physical corporate data warehouse and data marts for specific business areas to minimize data redundancy
Specific analytics and business intelligence (BI) platforms and tools to share and leverage analytic insights across the company
The investigation and application of relevant emerging technology in the Data and Analytics domain, including GenAI

A large focus of this role is to lead the team responsible for building, managing and optimizing the enterprise data supply chain for key data and analytics consumers (e.g., business & data analysts, data scientists, etc.) to drive business value. The team will ensure data pipelines, models and algorithms are optimized for data integrity, performance, security, and governance.
Responsibilities:
Building and maintaining the data supply chain: The primary responsibility of this role will be to lead a team that architects, builds and manages the Companys data supply chain. This will entail ingestion of both existing and future-state data sources to be determined based on business needs
Being a data and analytics evangelist: This role will promote the available data and analytics capabilities and expertise to functional heads and business unit leaders and educate them in how to best leverage these capabilities in achieving their business goals. In addition, this role will bring relevant leading-edge technology into the solution set for driving business value more quickly.
Collaborate across functions: The leader will require strong collaboration skills to work with varied stakeholders within the organization. Work in close relationship with cross-functional leaders to scope and prioritize initiatives.
Manage the technology for the data ecosystem: Build, integrate, and maintain enterprise data & analytics technologies for: data ingestion; brokering and integration; data warehouse / lake; data marts; and reporting, visualization, and other business intelligence tools.
Review and enhance development standards and best practices: Ensure repeatable and scalable solutions to deliver high quality data products and solutions to the enterprise (e.g., Dev Ops, CI/CD, data quality automations, peer code reviews, knowledge sharing, support model, etc.)

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com .

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Required Skills & Experience

10+ years of experience within data engineering leadership roles, managing data engineering and BI teams to deliver global enterprise data solutions using Data Lake, Data Warehousing and Business Intelligence capabilities.
5+ years of experience as a Director or above
Experience hiring and mentoring high caliber, data focused engineers with diverse technical strengths and background
Overseeing more than 50 people
Strong financial skills to effectively manage the operational and project budgets (including forecasts and to provide resourcing cost estimates to support new demands
Extensive experience with Snowflake, Databricks, and Azure Sure Synapse
Strong experience and knowledge in retail industry preferred
Experience in managing large, globally distributed teams
Deep experience with data engineering, big data and analytical technologies using cloud-based data platforms
Expert in guiding the organization to make data-driven decisions by providing clear, concise, and accurate data insights
A track record of identifying relevant leading-edge technology and achieving benefits of early adoption.
Strong financial skills to effectively manage the operational and project budgets (including forecasts and to provide resourcing cost estimates to support new demands
Experience in integrating complex, cross-functional processes, and data models.
Broad experience in multiple domain areas including data warehousing; business intelligence (BI); data architecture; data integration; data engineering, data classification; data strategy; data quality management; and enterprise architecture framework.
Required technical skills and experience:
Advanced Data Engineering: expert in data mesh reference architecture, data modeling, developing, and optimizing ETL (Extract, Transform & Load) processes and data pipeline development. Experience with Azure Data Factory, Apache Airflow, and various data ingestion methods (batch, streaming, API, enterprise hub) required.
Data Warehousing: strong understanding of data warehousing concepts, practices, and tools such as SnowFlake
Consumption Tools: PowerBI
Cloud Platforms: strong experience with Microsoft Azure and Google Cloud
Data Governance and Security: Familiarity with data privacy laws, regulatory compliance, ethics of data use, and data security best practices
AI /ML Platforms: strong experience with DataBricks
Advanced Analytics Tools: Experience with Python and Java
Common Database Programming Languages: Experience with SQL, MongoDB, and Cassandra
Experience in working with large, heterogeneous datasets
Experience with Data science and machine learning models and algorithms
Experience with Automation tools such as Trifacta, Paxata, etc.
Experience with Agile and Scrum development, preferably with SaFe Agile
A bachelor's or master's degree in computer science, data science, business analytics, statistics, applied mathematics, information systems, information science or a related quantitative field (or equivalent work experience) required.
Comfortable traveling 30% of the time (domestically and internationally)

Nice to Have Skills & Experience

Working experience from the retail domain

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.