Sr Product Manager - Operational Intelligence Analytics

Tower 02, Manyata Embassy Business Park, Racenahali & Nagawara Villages. Outer Ring Rd, Bangalore 540065

Target

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About us: 

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. At Target, we have a timeless purpose and a proven strategy and that hasn’t happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target’s global team and has more than 4,000 team members supporting the company’s global strategy and operations.

Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse backgrounds. We believe your unique perspective is important, and you'll build relationships by being authentic and respectful. At Target, inclusion is part of the core value. We aim to create equitable experiences for all, regardless of their dimensions of difference. As an equal opportunity employer, Target provides diverse opportunities for everyone to grow and win.

Team overview:

Target Global Supply Chain and Logistics is evolving at an incredible pace. We are constantly reimagining how we get the right product to the guest even better, faster and more cost effectively than before. We are becoming more intelligent, automated and algorithmic in our decision-making, so that no matter how guests shop—in stores or on Target.com—we deliver the convenience and immediate gratification they demand and deserve.

Operational Intelligence Analytics (OIA), within Target’s Supply Chain, is responsible for identifying data and empowering users with insight to improve operational performance. The skills mix is a blend of data engineering, data science, and diverse problem-solving capabilities – jack of several trades, master of none. The team currently uses a wide variety of analytics tools including SQL, Python, R and visualization tools to work with small, sparse datasets as well as big data platforms like Hadoop.
  

Role overview: 

This role will support data & analytics for Middle Mile Transportation for GSCL OI organization.

As a Senior Product Manager, you will work in the product model and will partner to develop a comprehensive product strategy, related roadmap, and set key business objectives (OKRs) for your respective product.  You will need to leverage the knowledge of your product, as well as, customer feedback and establish other relevant data points to assess value, develop business cases, and prioritize the direction and desired outcomes for your product. You will lead a product and work in unison with data analysts, engineers, data scientists and business partners to deliver a product. 

You will be the “voice of the product” to key stakeholders to ensure that their needs are met and that the product team is getting the direction and support that it needs to be successful. You will develop and actively understand the market, maintain a product roadmap and backlog outlining the customer themes, epics, and stories while prioritizing the backlog to focus on the highest impact work for your team and stakeholders. 

You will encourage the open exchange of information and viewpoints, as well as, inspire others to achieve challenging goals and high standards of performance while committing to the organization's direction. You will foster sense of urgency to achieve goals and leverage resources to overcome unexpected obstacles, and partner with product teams across the organization to help them achieve their goals while pursuing and completing yours. 

Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. 

Requirements:  

  • 4-year college degree (or equivalent experience) 

  • 6+ years of Product management, or experience within Global Inventory Management

  • Strong communication skills, building trust relationships with stakeholders, influencing teams across the organization, managing conflicts, and adapting to an ever-changing environment

  • Experience in building internal tools to improve efficiency

  • Experience with analytics and ability to facilitate communication between business and analysts

  • Experience working in an agile environment (e.g. user stories, iterative development, scrum teams, sprints, personas) 

  • Proven ability to lead a body of work with cross-functional partners

  • Proven ability to manage a large list of priorities, and provide transparency to stakeholders on expected time of completion

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile Big Data Engineering Hadoop OKR Python R Scrum SQL

Perks/benefits: Career development

Region: Asia/Pacific
Country: India

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