Analytics & USL Lead

• Own and evolve the technical strategy for analytics across multiple pods/products
• Define and govern enterprise ‑ level 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 cross‑pod solutions

• 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

• 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 trade ‑ offs and impacts

Hands ‑ On Technical Leadership (Selective, High ‑ Impact)

• Step in hands‑on for:
• Complex architecture decisions
• Large migrations / rationalization efforts
• Cross‑domain 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 future ‑ ready , not just fit for current use cases

• Own the end ‑ to ‑ end technical design of analytics solutions within assigned pods or products
• Define future ‑ state 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

• Line‑manage and mentor Tech Leads and senior analytics engineers
• Set clear expectations for:
• Technical ownership
• Delivery accountability
• Quality standards
• Coach Tech Leads on:
• Decision‑making
• Stakeholder communication
• Balancing speed vs sustainability

• 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

• Champion product ‑ based 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

• 14–16+ years in analytics, data engineering, or BI
• Proven experience leading large‑scale analytics programs or portfolios
• Strong domain exposure in Supply Chain, Manufacturing, Retail, Sales, Finance, or Operations
• Experience delivering enterprise ‑ scale analytics solutions

• Strong hands‑on 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

• 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 enterprise‑level 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 conflict‑resolution skills

We offer a competitive total rewards package that may include other benefits and well ‑ being programs.

Offerings vary by role and location and are designed to support employees’ health, security, and success.

Carrier is committed to equal treatment and non-discrimination principles.

All qualified applicants will receive consideration for employment without regard to race, color , religion, sex, sexual orientation, gender identity, national origin, age, or disability, or any other applicable protected class .

If you require a reasonable accommodation to complete the application process, participate in an interview, or otherwise engage in the hiring process, please contact us at Carrier.Recruiting@carrier.com .We will make every effort to meet your needs in accordance with applicable laws.

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