Global Reporting Engineering Manager

Job Duties/Essential Functions:

• The Manager provides leadership and effective management of team members as outlined inIT Management Role and Responsibilities
• Leads and develops a multidisciplinary team that may include Product Owners, Analytics Translators, Data Engineers, BI Engineers, Data Analysts, and Quality Engineers , SRE, and Operations teams located across regions or time zones.
• Builds organizational capability by assessing workforce capacity and skill gaps, developing hiring and training plans, mentoring emerging leaders, and creating clear career paths.
• Creates an inclusive, high-accountability environment in which different perspectives are actively sought, employees understand how their work contributes to business outcomes, and teams can raise risks or concerns early.
• Defines and executes a multi-year global BI and data analytics strategy, product portfolio, and roadmap aligned with enterprise priorities, regional needs, and the broader data and technology strategy.
• Establishes a global operating model that combines enterprise standards and reusable data products with appropriate flexibility for regional and functional business requirements.
• Translates strategy into measurable objectives, quarterly priorities, delivery plans, resource and budget requirements, and clear accountability for outcomes.
• Leads demand intake, value assessment, prioritization, dependency management, and sequencing across competing business needs; communicates tradeoffs and decisions transparently to senior stakeholders.
• Maintains strong partnerships with business executives, data owners, technology leaders, product teams, and regional stakeholders and serves as a trusted advisor on reporting, analytics, measurement, and decision support.
• Provides technical direction across data preparation, ingestion, transformation, modeling, semantic layers, APIs, and consumption patterns required to support enterprise BI and analytics use cases.
• Partners with enterprise architecture, cloud, data platform, security, and engineering teams to design scalable solutions across data warehouses, lakehouses, data lakes, operational data stores, and related cloud services.
• Ensures solutions meet defined standards for availability, reliability, performance, scalability, observability, disaster recovery, and cost optimization, including service-level objectives and operational support procedures.
• Promotes engineering discipline through reusable patterns, version control, automated testing, CI/CD, release management, code review, documentation, and root-cause-based continuous improvement.
• Owns or influences platform and vendor roadmaps, licensing and capacity decisions, service performance, and partner accountability for BI and analytics technologies.
• Develops and manages team operating plans, capacity, budgets, vendor relationships, licensing, contracts, and financial forecasts as assigned.
• Establishes transparent operating rhythms, portfolio reviews, risk and dependency tracking, delivery metrics, and executive communications.
• Maintains regular and reliable workplace attendance at the assigned location and collaborates effectively across global time zones as business needs require.
• Leads the end-to-end lifecycle of BI and analytics products from discovery and requirements through design, engineering, testing, release, enablement, adoption, support, enhancement, and retirement.
• Ensures reports, dashboards, scorecards, KPIs, and analytical applications are intuitive, decision-oriented, accessible, and aligned with enterprise UI/UX and visualization standards.
• INCLUSION: Encourages different approaches and ideas to work and to accomplish goals. Seeks employee input. Takes the time to get to know or reach out to candidates who show potential that may not come forward on their own.
• COMPLIANCE AND SAFETY:Takes measures to ensure employee and member information is kept confidential and adheres to IS security policy.
• This is a full-time management/leadership position (45+ hours per week).
• Regular and reliable workplace attendance at your assigned location.
• Computer, phone, printer, copier, fax

Ability to operate vehicles, equipment or machinery:

• Same as essential functions

Experience, Skills, Education & Licenses/Certifications:

• Ten or more years of progressive experience in business intelligence, data analytics, data engineering, data products, reporting systems, software development, or a related discipline.
• Three or more years of formal people-leadership experience managing and developing technical or analytical professionals; experience leading multidisciplinary teams is strongly desired.
• Demonstrated experience defining BI or analytics strategy and roadmaps and delivering enterprise data products from business discovery through adoption and operational support.
• Experience operating in a complex, matrixed organization and partnering with senior leaders across multiple functions, business units, regions, or time zones.
• Strong knowledge of enterprise BI and visualization practices and deep experience with at least one platform such as Power BI, Tableau, Cognos, BusinessObjects / Web Intelligence, or a comparable tool.
• Strong SQL, dimensional and analytical data modeling, semantic layer, data warehousing or lakehouse, ELT / ETL, and data integration knowledge sufficient to guide engineering teams and evaluate solution quality.
• Experience with a major cloud data and analytics platform such as Google Cloud, Microsoft Azure, AWS, Databricks, Snowflake, or an equivalent enterprise platform.
• Working knowledge of data governance, data quality, metadata and lineage, access controls, privacy, security, and audit requirements.
• Experience with Agile product delivery, DevOps practices, release and change management, automated testing, and production support for business-critical data products.
• Excellent written, verbal, facilitation, and executive presentation skills, including the ability to translate technical concepts into business value and influence decisions without direct authority.
• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Statistics, Mathematics, Business, or a related field, or equivalent education and relevant professional experience.

Preferred:

• Ten or more years of relevant experience and five or more years leading BI, analytics, or data engineering teams in a global enterprise environment.
• Retail, wholesale, membership, supply chain, finance, merchandising, operations, e-commerce, pharmacy, or other large-scale consumer business experience.
• Experience with technologies such as BigQuery, Azure Synapse or Fabric, Databricks and Delta Live Tables, Snowflake, Oracle Data Warehouse, SAP BW, Power BI, Tableau, Cognos, BusinessObjects / Web Intelligence, Alteryx, Python, or R.
• Experience leading BI modernization, cloud migration, enterprise metric standardization, self-service enablement, or legacy platform retirement programs.
• Practical experience identifying and implementing responsible AI / ML, forecasting, experimentation, automation, or generative AI use cases within an analytics environment.
• Experience managing vendors, budgets, licenses, capacity planning, contracts, and platform cost optimization.
• Master's degree in a related field and / or relevant certifications in cloud, analytics, data management, Agile product management, or organizational change management.
• Successful internal candidates will have spent one year or more on their current team.