Product Manager

Category: Information Technology

Location: Bengaluru, KA, India

India


Product Manager

Bengaluru, KA, India

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Company Description

Tesco Bengaluru: We are a multi-disciplinary team creating a sustainable competitive advantage for Tesco by standardising processes, delivering cost savings, enabling agility, providing cutting-edge technological solutions and empowering our colleagues to do ever more for our customers. With cross-functional expertise in Global Business Services and Retail Technology & Engineering, a wide network of teams and strong governance we reduce complexity thereby offering high quality services for our customers. Tesco Bengaluru, established in 2004 to enable standardisation and build centralised capabilities and competencies, makes the experience better for our millions of customers worldwide and simpler for over 4,40,000 colleagues.
Tesco Technology consists of people from a number of different backgrounds, but having a common purpose to serve our shoppers a little better every day with our retail technological solutions. We shared a common interest in harnessing innovations in technology to enhance their shopping experience at Tesco stores. Whether making products, software or systems, our teams focuses on various aspects from taking strategic ownership of the architecture to delivering technological solutions such as design, testing, deployment, infrastructure, operation and security of the systems to ensure agile, smooth and safe operations. These help us to deliver the maximum business impact. Teams refine their internal processes to best fit their own needs, working to build core capabilities in application and services. We collaborate globally across teams to build end-to-end customer-facing solutions, as well as to share knowledge, experience, tools and techniques.
At Tesco, inclusion means that Everyone?s Welcome. Everyone is treated fairly and with respect; by valuing individuality and uniqueness we create a sense of belonging.
Diversity and inclusion have always been at the heart of Tesco. It is embedded in our values: we treat people how they want to be treated. We always want our colleagues to feel they can be themselves at work and we are committed to helping them be at their best.
Across the Tesco group we are building an inclusive workplace, a place to actively celebrate the cultures, personalities and preferences of our colleagues ? who in turn help to build the success of our business and reflect the diversity of the communities we serve.

Additional Information

Important Notice: 

On behalf of Tesco Bengaluru, we must caution all job seekers and educational institutions that Tesco Bengaluru does not authorise any third parties to release employment offers or conduct recruitment drives via a third party. Hence, beware of inauthentic and fraudulent job offers or recruitment drives from any individuals or websites purporting to represent Tesco. Further, Tesco Bengaluru does not charge any fee or other emoluments for any reason (including without limitation, visa fees) or seek compensation from educational institutions to participate in recruitment events. 

Accordingly, please check the authenticity of any such offers before acting on them and where acted upon, you do so at your own risk. Tesco Bengaluru shall neither be responsible for honouring or making good the promises made by fraudulent third parties, nor for any monetary or any other loss incurred by the aggrieved individual or educational institution. 

In the event that you come across any fraudulent activities in the name of Tesco Bengaluru, please feel free report the incident at recruitment_compliance_india@tesco.com 

Job Description

Product Manager – Personalisation

Job Introduction

As the Product Manager for Personalisation; you will guide core Machine Learning/AI and Data Science capabilities from creation through to execution. You will focus on building data driven features at scale providing relevant and personalised products to our users; impacting core business and customers metrics.

You will be part of the Discovery & Personalisation product team; responsible for managing the product vision; strategy and development for a personalised product ranking capabilities and associated customer experiences that are key to solving problems related to how Tesco customers find; discover and build their baskets; across all verticals and Tesco markets.

Main Responsibilities

Whilst specific responsibilities will be dependent upon the changing needs of the Tesco business; the following provides an overview of the role’s key responsibilities and measures;

- Defining and building high-scale; low latency personalisation service; including definition and tuning of algorithmic parameters to drive best customer and business outcomes

- A skilled practitioner of Product Management; you will own; manage and prioritise a quantitative focused backlog to deliver meaningful improvements across a wide range of Tesco customer touchpoints; using agreed OKR’s and KPI’s for coverage; relevance and performance

- Leading the development plans: contributing towards the overall personalisation strategy; defining and prioritising business needs and working with the different business units to ensure their plans are integrated.

- Work with other Product Managers; stakeholders; Data Science and the Engineering teams to deliver the personalisation roadmap using agile methodologies: prioritising requirements; answering development questions and resolving issues; always putting the customer first.

Qualifications

Skills relevant for the job
•Highly numerate and comfortable working with data
•Excellent written and verbal communication skills
•A methodical/ analytical approach and great problem-solving skills
•Great presentation and persuasion skills
•Team player who could work collaboratively with other members of the team
•Ownership; responsiveness and commitment towards assigned work
•Strong decision making and prioritization skills; especially when multiple trade-offs are involved
•Empathy and good listening skills to understand the needs/ pain points of your customers
•Knowledge of Agile methodologies; writing effective user stories & acceptance criteria
•Understanding of User Research/ Design Thinking concepts
•Understanding of data science concepts and Machine Learning models

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