Sr Product Manager - Properties Data Analytics
Target
Job Overview
| Role: | Sr Product Manager - Properties Data Analytics |
| Location: | Bangalore,India |
| Employment Type: | Full Time / Permanent |
| Industry: | IT / Software / Core |
Organization / Company Name
Target
(See full description for company details)
Important Dates
- Posted On: 10 February 2026
- Application Deadline: ASAP (Apply immediately)
Job Description
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. 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 you'll build relationships by being authentic and respectful.
Team overview:
Target’s distinctive brand love comes to life in our physical spaces—and the Properties team plays a critical role in shaping that experience. From real estate and design to construction and ongoing maintenance of stores, distribution centers, and headquarters, Properties has a direct and meaningful impact on every Target location.
The Properties Data Analytics team exists to harness the power of data to inform critical decisions that enable a reliable, efficient, and on-brand guest experience while supporting enterprise-wide data needs, consistency, and reuse of Properties data assets.
Role Overview:
As a Sr Product Manager, you will own and lead data and analytics products that support the Properties organization. You will operate in Target’s product model, defining product strategy, roadmap, and outcomes while partnering closely with data engineering, data analytics, data science, product, tech and business stakeholders.
You are the voice of the product, translating business needs into scalable data solutions, prioritizing high-impact work, and ensuring your product delivers measurable value. You will balance strategic thinking with hands-on execution, using customer feedback, data insights, and business context to guide decisions, , while also ensuring Properties data products align with enterprise data strategy, standards, and governance expectations.
Key Responsibilities:
Product Strategy & Ownership
Define and own the product vision, strategy, and roadmap for Properties data and analytics products
Establish clear objectives and key results (OKRs) aligned to business outcomes
Develop business cases, assess value, and prioritize initiatives based on impact and feasibility
Maintain and prioritize a product backlog of themes, epics, and user stories
Drive alignment between Properties data products and enterprise data strategy, platform standards, and architectural direction.
Cross-Functional Leadership
Partner closely with data engineering, data science, data analytics, tech, and platform teams along with product and business to deliver high-quality products
Facilitate clear communication between business and technology teams, ensuring shared understanding and alignment
Act as a trusted partner to Properties stakeholders, representing their needs while balancing enterprise priorities
Data & Analytics Enablement
Lead products that enable data collection, reporting, experimentation, and decision support across Properties
Ensure data quality, consistency, and usability across analytics platforms and data pipelines
Drive adoption of analytics products by enabling self-service insights and clear documentation
Execution & Delivery
Work in an agile environment, guiding teams through iterative development, sprint planning, and delivery
Foster a sense of urgency, remove obstacles, and adapt plans as business needs evolve
Encourage open exchange of ideas, high standards of performance, and continuous improvement
About You:
Four-year degree or equivalent experience.
6+ years of Product Management experience with added advantage of equivalent domain experience in data, analytics, properties, or related fields
Strong experience in data architecture design, data quality, and data governance, with a solid understanding of modern data storage solutions, data engineering architectures, and end-to-end data pipelines including ingestion, transformation, and delivery
Strong experience working with technology teams and translating business needs into technical solutions
Proven ability to lead cross-functional initiatives in an agile environment
Excellent communication, stakeholder management, and influencing skills
Experience building or managing data, analytics, or decision-support products
Familiarity with experimentation, metrics, and data-driven product development
Experience working in large, complex organizations with multiple stakeholder groups
Useful Links:
Educational Qualification
Candidates should possess a relevant degree (B.E/B.Tech, M.E/M.Tech, MCA, or equivalent) from a recognized university. Please refer to the specific requirements in the Job Description above.
Age Limit
As per company rules. Generally, candidates should be at least 18 years of age.
Salary / Pay Scale
Best in Industry / Not Disclosed by Company.
Application Fee
NIL (No application fee for private jobs).
Selection Process
- Resume Shortlisting
- Online Assessment / Technical Round
- HR Interview
- (Process may vary by company)
How to Apply
Interested and eligible candidates can apply online using the link provided below.
- Click on the "Apply Now" link below.
- You will be redirected to the official career page of Target.
- Read the job details carefully.
- Click on "Apply" and fill in the required details.
- Submit your application.
Important Links
Important Instructions
- Read the full job description on the official site before applying.
- Ensure your resume is updated and matches the job requirements.
- Check your email regularly for updates after applying.
Disclaimer: This job posting is for information purposes only. We are not associated with Target directly. All applications are processed through the official company website. Do not pay any money to anyone for this job.
