drjobs Sr People Data Ops Product Manager

Sr People Data Ops Product Manager

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1 Vacancy
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Job Location drjobs

Bengaluru - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

About us:


As a Fortune 50 company with more than 400000 team members worldwide Target is an iconic brand and one of Americas leading retailers.

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 different voices and lifts each other up. Here we believe your unique perspective is important and youll build relationships by being authentic and respectful.

Overview about TII

At Target we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers worldclass outcomes. That winning formula is especially apparent in Bengaluru where Target in India operates as a fully integrated part of Targets global team and has more than 4000 team members supporting the companys global strategy and operations.

Target Human Resources is well known for its signature ability to build the very best teams and we infuse our work with Targets distinctive retail brand by continuously experimenting evolving and innovating. With the chance to positively impact nearly 350000 people worldwide in our stores distribution centers and headquarters youll be a strategic partner to both the leaders and the team members who elevate and nurture the Target guest experience. Our dynamic passionate and responsive team comprises specialized peopleprofessionals from several diverse disciplines. We operate behind the scenes to create a progressive culture of value respect reward and professional advancement.

The People Analytics & Insights team mission is to empower a data driven approach to HR and people decisions regarding our global workforce. We are uniquely positioned to provide unbiased insights to unlock value and drive outcomes and to enable and influence HR and business strategy.

The People Analytics & Insights team

  • Integrates into the business as strategic HR analytics partners and anticipates and uncovers stated or unstated needs.
  • Listens and empowers team member and external stakeholder voice
  • Uses our analytics expertise to test measure analyze understand and answer various business questions
  • Provide reporting to help inform on the current state of the business and help facilitate process at scale
  • Connects our understanding across business and HR to deliver data driven products and solutions
  • Provide meaningful insights and recommendations

About the Product

Our data products fuel Targets decisionmaking engine. From enterprisewide metrics platforms to operational data assets that power predictive analytics and experimentation our data product ecosystem helps leaders across the organization make smarter faster and more inclusive decisions. We are building scalable governed and usercentered data products that democratize insights reduce complexity and unlock business value.

As a Senior People Data Ops Product Manager you will own enterprise data products and assets such as curated data sets semantic layers and foundational data pipelines of HR pyramid. You will drive product strategy discovery delivery and evolution of these data products to ensure they meet the analytical operational and compliance needs of Targets diverse user base.

About the Role

As a Senior People Data Ops Product Manager you will work in Targets product model and partner closely with engineers data scientists UX designers governance and privacy experts and business stakeholders to build and scale data products that deliver measurable outcomes. You will be accountable for understanding customer needs and business objectives and translating them into a clear roadmap of capabilities that drive adoption and impact.

You will:

  • Define the vision strategy and roadmap for one or more data products aligning with enterprise data and business priorities.
  • Deeply understand your users analysts data scientists engineers and business leaders and their data needs.
  • Translate complex requirements into clear user stories acceptance criteria and product specifications.
  • Drive decisions about data sourcing quality access and governance in partnership with engineering privacy and legal teams.
  • Prioritize work in a unified backlog across discovery design data modeling engineering and testing.
  • Ensure highquality reliable and trusted data is accessible and usable for a variety of analytical and operational use cases.
  • Evangelize the value of your data product across the enterprise and support enablement and adoption efforts.
  • Use data to make decisions about your products performance identify improvements and evaluate new opportunities.

About You

  • Must have minimum 3 years of college degree in computer science or information technology.
  • A total of 9 years of experience in which 5 years of product management experience ideally with a focus on data products platforms or analytical tooling
  • Deep understanding of data concepts: data modeling governance quality privacy and lifecycle management
  • Experience delivering products in agile environments (e.g. user stories iterative development scrum teams)
  • Ability to translate business needs into technical requirements and communicate effectively across roles
  • Demonstrated success in building products that support data consumers like analysts engineers and business users
  • Experience working with modern data technologies (e.g. Snowflake Hadoop Airflow GCP etc.) is a plus
  • Strategic thinker with strong analytical and problemsolving skills
  • Strong leadership collaboration and communication skills
  • Willing to coach and mentor team members.

Useful Links

Life at Target Experience:

Senior IC

Employment Type

Full-Time

About Company

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