Tech Lead Data Analytics Manufacturing Industry Bangalore

Hi We are having an opening for Tech Lead Data Analytics - Manufacturing Industry Bangalore - bellandur, - hybrid job Working Days: Monday Friday Job Timing: Day shift Role Summary The Tech Lead Analytics is the technical owner of analytics solutions delivered by the Analytics CoE. The role is responsible for endtoend 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 highquality delivery across pods by building highperforming, continuously improving teams Position Tech Lead Data Analytics QualificationBachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or related discipline.Number of post1Office LocationBangalore - bellandur, - hybrid job 3 days from office - onsite client location Job TypeFull Time GenderMale/FemaleIndustryIT Experience: 9+ Years Interview process Total 3 Technical round 2 rounds evaluation with LV (we can plan to take this together based on panel availability) & 1 with clientSalary30 to 45 L p.a. Key Responsibilities Functional & Domain Experience 9+ 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 enterprisescale analytics solutions Role Responsibilities: 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 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 Sprintready 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 signoff 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 tradeoffs to Product and CoE leadership HandsOn Analytics & Data Expertise Provide deep handson 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 & CrossTeam Coordination Act as the technical interface to business stakeholders, IT, and platform teams Explain technical decisions and constraints in businessfriendly 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, productoriented 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 Technical Skills Strong handson experience with: SAP Analytics , Data Warehousing and ETL / ELT 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 platforms (Power BI, Looker, Tableau, Qlik, etc.) SQL and Python knowledge is preferred. BW HANA experience is a very big advantage. Support complex data analysis, troubleshooting, and solution rationalization Guide teams in modern analytics and data engineering practices 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 problemsolving and decisionmaking ability Strong coaching, mentoring, and feedback skills Ability to influence and motivate teams without micromanagement Strong communication and conflictresolution skills Comfortable managing teams in a fastpaced, productbased delivery environment JoiningImmediate / 15 Days