Analytics & USL Lead

JOB RESPONSIBILITY:

The Analytics & USL Lead within the Analytics CoE.

This role ensures that analytics solutions delivered across the portfolio are:

• Technically consistent and scalable

• Aligned to enterprise architecture and standards

• Delivered predictably with high quality

• Built and sustained by highperforming teams

The role acts as the senior technical authority for analytics delivery partnering with Product Managers Business Analysts Architects and Platform teams while managing and developing Tech Leads and senior engineers.

Role Responsibilities:

PortfolioLevel Technical Strategy & Architecture

• Own and evolve the technical strategy for analytics across multiple pods/products

• Define and govern enterpriselevel analytics architecture including:

• Data ingestion and integration patterns

• Data modeling and semantic layer standards

• Reporting and analytics consumption patterns

• Drive standardization reuse and simplification to reduce technical debt

• Review and approve technical designs for major initiatives and crosspod solutions

Program / Portfolio Delivery Governance

• Provide technical oversight across multiple analytics pods

• Ensure consistent application of:

• Design standards

• Coding and modelling best practices

• Data quality and validation frameworks

• Own technical risk management at portfolio level (dependencies scalability performance)

• Act as final technical escalation point for complex delivery issues

Partnership with Product BA & Architecture Leadership

• Partner with Product Managers to align portfolio roadmaps with technical feasibility

• Work with Senior BAs to ensure KPI frameworks and metric logic are technically sound and scalable

• Collaborate with Solution / Enterprise Architects to ensure alignment with:

• Platform strategy

• Security compliance and governance standards

• Influence prioritization decisions by articulating technical tradeoffs and impacts

HandsOn Technical Leadership (Selective HighImpact)

• Step in handson for:

• Complex architecture decisions

• Large migrations / rationalization efforts

• Crossdomain analytics solutions

• Guide teams on:

• SAP BW / HANA / S/4 data models

• Data warehousing Lakehouse DataLake ETL / ELT patterns

• Cloud analytics platforms (AWS Snowflake etc.)

• Ensure analytics platforms are futureready not just fit for current use cases

Analytics Technical Solution Ownership

• Own the endtoend technical design of analytics solutions within assigned pods or products

• Define futurestate analytics architecture including data flows integration patterns and semantic layers

• Review and approve data models pipelines and reporting architectures

• Ensure solutions are scalable performant reusable and maintainable

Team Leadership & Mentorship :

Leadership of Tech Leads & Senior Engineers

• Linemanage and mentor Tech Leads and senior analytics engineers

• Set clear expectations for:

• Technical ownership

• Delivery accountability

• Quality standards

• Coach Tech Leads on:

• Decisionmaking

• Stakeholder communication

• Balancing speed vs sustainability

Talent Development & Capability Building

• Build a strong analytics engineering leadership bench

• Define and drive skill development paths for:

• Data engineering

• BI & semantic modeling

• Cloud and platform capabilities

• Identify skill gaps and partner with CoE leadership on:

• Hiring strategy

• Upskilling plans

• Vendor augmentation where required

Culture Ways of Working & Engineering Excellence

• Champion productbased delivery and engineering discipline

• Promote strong collaboration across Product BA Engineering and Platform teams

• Embed a culture of:

• Ownership

• Reuse over reinvention

• Data quality and reliability

• Act as a role model for technical and people leadership

Minimum Requirements:

Functional & Domain Experience

• 1416 years in analytics data engineering or BI

• Proven experience leading largescale analytics programs or portfolios

• Strong domain exposure in Supply Chain Manufacturing Retail Sales Finance or Operations

• Experience delivering enterprisescale analytics solutions

Technical Skills

• Strong handson experience with: ETL / ELT Cloud platforms (AWS Snowflake preferred) Databricks Open Source SAP Analytics (BW HANA S/4) Data Warehousing and

• Strong grasp of:

• Data modeling and semantic layers

• Analytics performance and scalability

• Integration patterns across heterogeneous source systems

• Experience with BI platforms (Power BI Looker Tableau Qlik etc.)

• Support complex data analysis troubleshooting and solution rationalization

• Guide teams in modern analytics and data engineering practices

Soft Skills

• Proven people management experience with senior technical staff

• Strong influencing skills across business and technology leadership

• Ability to communicate complex technical concepts in business terms

• High ownership mindset with enterpriselevel thinking

• Comfortable operating in ambiguity and driving clarity at scale

• Excellent communication and stakeholder management skills

• Ability to influence without authority

• Strong coaching mentoring and feedback skills

• Ability to influence and motivate teams without micromanagement

• Strong communication and conflictresolution skills

Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability or veteran status age or any other federally protected class.

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