About TVS / Who are we?
TVS Motor Company is a reputed two and three-wheeler manufacturer globally, championing progress through Sustainable Mobility with four state-of-the-art manufacturing facilities in Hosur, Mysuru and Nalagarh in India and Karawang in Indonesia. Rooted in our 100-year legacy of Trust, Value, and Passion for Customers and Exactness, we take pride in making internationally aspirational products of the highest quality through innovative and sustainable processes. We are the only two-wheeler company to have received the prestigious Deming Prize. Our products lead in their respective categories in the J.D. Power IQS and APEAL surveys. We have been ranked No. 1 Company in /the J.D. Power Customer Service Satisfaction Survey for consecutive four years. Our group company Norton Motorcycles, based in the United Kingdom, is one of the most emotive motorcycle brands in the world. Our subsidiaries in the personal e-mobility space, Swiss E-Mobility Group (SEMG) and EGO Movement have a leading position in the e-bike market in Switzerland. TVS Motor Company endeavours to deliver the most superior customer experience across 80 countries in which we operate.
For more information, please visit www.tvsmotor.com.
Job Title / Role: Divisional Head - Data analysis - M&SC & Sustainability
Location : Bangalore
Education Qualification :
'Bachelor of Engineering-BE/B.TECH and Master’s degree in Maths, Computer Science, Statistics, Operation Research or related field with a minimum of 8 years of relevant experience or Masters in Math, Computer Science, Statistics, Operation Research or related field or a related STEM discipline (or equivalent experience).
Experience : - Over 16+ years of Applied Machine learning experience in the fields of machine learning such as Text Information Retrieval, Natural Language Processing (NLP), Recommender Systems, Deep learning, Optimization etc. Good to have experience in the domain of Computer Vision & Voice AI . 14 Years in analytics field.
Job Purpose :
Responsible for leading all engineering activities, ensuring alignment with business vision, and delivering advanced data management solutions. Drives cross-functional collaboration while mentoring teams and promoting best engineering practices.' - Collaborate with stakeholders to craft vision and concept development. The PO has to ensure the short- and long-term strategy and has to define the higher-level backlog items such as epics and features, etc.
Key Responsibilities
' - The role cuts across data science and analytics projects across all customer journey stages of Discover, Shop, Buy and Own covering both business growth workstreams as well as Customer experience workstreams.
- Building and managing team of data scientists, analysts and BI developers and participation in end-to-end ML projects development and deployments that require feasibility analysis, design, development, validation, and application of state-of-the art data science solutions.
- Provide leadership to establish world-class ML lifecycle management processes.
- You will have to push the state of the art in terms of the application of NLP, Text Information Retrieval, Recommender Systems, Social Media Analytics, Object Detection and Tracking, and Voice AI solutions across customer experience projects.
- Leverage and enhance applications utilizing Deep Learning Neural networks for use cases including text mining, computer vision, speech, & voice to text AI.
- Foster a culture of data-driven decision making within the organization, promoting the use of analytics to drive continuous improvement and innovation.
- A demonstrated ability to collaborate with internal and external stakeholders.
- Mentoring team to write research papers, patents, & participate in open source contribution etc.
- Effectively communicate complex analytical findings and insights to both technical and non-technical stakeholders through presentations, reports, and visualizations.
- Recommend business improvement areas, product/feature development or further analysis requirements basis insights from various analyses.
- Drive Design of Experiments methodology for all improvements.
- Lead the organization towards self-serve BI and Gen AI based auto-insight generation.
- Work with Data COE and Digital Defense COE to drive data governance initiatives, data quality standards, ensuring data accuracy, and implementing data security measures.
- Collaborate with Tech COE to ensure data infrastructure, systems, and tools are optimized to support efficient data collection, storage, and analysis..
- Provide actionable insights and recommendations to stakeholders based on data analysis, helping them make informed decisions and drive business growth and customer satisfaction growth.
- Partner with data/ML engineers and vendor partners for input data pipes development and ML models automation
- Need to deploy real time ML models, expose ML outputs through APIs, and deliver solutions to production through the software development lifecycle.
- Develop and implement a comprehensive analytics strategy and problem solving framework to support the organization's business objectives.
- Guide the team to analyse data from various sources, including internal systems, third-party tools, and market research (as necessary), to identify trends, patterns, and opportunities.
- Collaborate with business stakeholders to define key performance indicators (KPIs) and develop dashboards and reports to track and measure performance against these metrics..
Key Skills
' - Strategic Thinking.
- Detail Oriented
- Process improvement
- Business Acumen
- People Management.
- Interpersonal relationship.