Analytics & USL Lead

Carrier · Manufacturing & Industrial

Ecospace Campus 3A, 4th Floor, Outer Ring Road, Bellandur, Bengaluru- 560103
On-site
Posted 14 days ago
Apply by 13 Oct
Data & AI

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About the job

R o le : Analytics & USL Lead

Location : Bangalore

Full/ Part-time : Full time

About Carrier

Carrier Global Corporation, global leader in intelligent climate and energy solutions, is committed to creating innovations that bring comfort, safety and sustainability to life. Through cutting-edge advancements in climate solutions such as temperature control, air quality and transportation, we improve lives, empower critical industries and ensure safe transport of food, life-saving medicines and more. Since inventing modern air conditioning in 1902, we lead with purpose: enhancing the lives we live and the world we share. We continue to lead because of our world-class, inclusive workforce that puts the customer at the centre of everything we do. For more information, visit corporate.carrier.com or follow Carrier on social media at @Carrier.

About the role :

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 .

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 high ‑ performing teams

Role Responsibilities:

Portfolio ‑ Level Technical Strategy & Architecture

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

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 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

Analytics Technical Solution Ownership

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

Team Leadership & Mentorship :

Leadership of Tech Leads & Senior Engineers

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

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 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

Minimum Requirements:

Functional & Domain Experience

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

Technical Skills

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

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 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

Benefits

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.

Equal Treatment and Non-Discrimination

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.

Job Applicant Privacy Notice

Please review Carrier’s Job Applicant Privacy Notice   ,

Use of AI in Recruitment

Technology enabled tools may support parts of the recruitment process, with oversight by people.

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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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