Sr Assoc, Data Sci & Analytics

Job description

**Tech Lead – Data Analytics** **Role Purpose:** The **Tech Lead – Analytics** is the **technical owner of analytics solutions** delivered by the Analytics CoE. The role is responsible for **end‑to‑end technical design, delivery quality, scalability, and governance** of analytics products, while partnering closely with **Product Managers and Business Analysts**. The Tech Lead ensures that analytics solutions are **built the right way**, aligned to **business intent**, and compliant with **Analytics CoE standards**, while enabling predictable and high‑quality delivery across pods by building **high‑performing, continuously improving teams** **Functional & Domain Experience** - 10+ years of experience in **analytics, data engineering, or BI solutions** - Strong domain exposure in any of the areas like **Order to Cash,** **Supply Chain, Sales, Finance, or Operations, Procurement, MM, MDM etc.** - **Manufacturing Industry domain experience preferred.** - Experience delivering **enterprise‑scale analytics solutions** **Technical Skills** - Strong hands‑on experience with: **SAP Analytics**, **SAP BW HANA,** Data Warehousing - Experience with Cloud platforms (GCP, AWS, Snowflake) - SAP, Salesforce, or any other ERP Data experience and knowledge. - **Strong understanding of: Data modelling and semantic layers Analytics architecture and integration patterns** - Experience with BI front end platforms (Power BI, Looker, Tableau, Qlik, etc.) - **SQL and Python knowledge is preferred.** - Support complex data analysis, troubleshooting, and solution rationalization - Guide teams in modern analytics and data engineering practices **Role Responsibilities:** **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** **Partnership with Product Managers & Business Analysts** - Partner with Product Managers to align **technical execution with product vision and roadmap** - Translate **business and analytics requirements** into: - Technical designs - Sprint‑ready user stories - Clear acceptance criteria - Work closely with Business Analysts to clarify KPI logic, data definitions, and analytical intent **Technical Governance & Quality Assurance** - Enforce **Analytics CoE technical standards, design principles, and best practices** - Review code, data pipelines, and models to ensure **quality, consistency, and correctness** - Ensure **data accuracy, integrity, lineage, and governance** - Own **technical sign‑off** for releases and production readiness **Delivery Leadership & Execution** - Act as the **technical leader within analytics delivery pods** - Lead sprint planning, estimation, sequencing, and dependency management from a technical standpoint - Own technical delivery commitments, risks, and mitigation plans - Communicate timelines, risks, and trade‑offs to Product and CoE leadership **Hands‑On Analytics & Data Expertise** - Provide deep hands‑on guidance across: SAP BW / HANA / S/4 data models ETL / ELT pipelines Cloud platforms (AWS, Snowflake, etc.) - Support complex data analysis and troubleshooting - Deconstruct and rationalize existing analytics solutions when required **Stakeholder Communication & Cross‑Team Coordination** - Act as the **technical interface** to business stakeholders, IT, and platform teams - Explain technical decisions and constraints in **business‑friendly language** - Coordinate with architects, platform teams, and upstream system owners **Team Leadership & Mentorship** - Lead, mentor, and develop **analytics engineers, BI developers, and data engineers** - Provide technical guidance, coaching, and regular feedback - Support skill development plans aligned to Analytics CoE capability needs - Foster a culture of **ownership, learning, and engineering excellence** - Set clear expectations for team members aligned to delivery goals and quality standards - Conduct performance reviews and provide structured development feedback - Identify skill gaps and work with CoE leadership on training or hiring needs - Recognize and reward strong technical and delivery contributions - Plan and manage team capacity across sprints and releases - Support staffing decisions for pods and projects - Balance delivery commitments with sustainable team workload - Onboard new team members and ensure smooth integration into pods - Promote **collaborative, product‑oriented ways of working** - Encourage adherence to Agile and DevOps practices - Foster strong collaboration between engineering, BA, product, and platform teams - Act as a role model for **technical ownership and professional conduct** **Minimum Requirements:** **Soft Skills** - Strong technical leadership and **ownership mindset** - Proven experience **leading and developing technical teams** - Excellent communication and stakeholder management skills - Ability to **influence without authority** - Structured problem‑solving and decision‑making ability - Strong coaching, mentoring, and feedback skills - Ability to influence and motivate teams without micromanagement - Strong communication and conflict‑resolution skills - Comfortable managing teams in a **fast‑paced, product‑based delivery environment** ****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.**** **Job Applicant's Privacy Notice:** Click on this [link](https://www.corporate.carrier.com/legal/privacy-notice-job-applicant/) to read the Job Applicant's Priva