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Data Product Manager

Data Product Manager

InfoCepts

0 - 11 years

0 Lacs

pune maharashtra

Posted:2 days ago| Platform: Indeed logo

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Skills Required

data capture engineering analytics vision strategy communication prioritization documentation development governance security compliance management drive engagement storytelling testing integrity consistency analysis coordination sql design power tableau microstrategy visualization support training agile jira leadership presentation powerpoint efficiency etl databricks qlik kafka ai inventory segmentation pricing finance planning forecasting budgeting strategies marketing learning certifications resolve

Work Mode

On-site

Job Type

Full Time

Job Description

Position: Data Product Manager

Location: Pune/Nagpur

Type of Employment: Full time

Purpose of the Position: Purpose of this role is to liaison with the business stakeholders, gather business requirements, capture them and create business requirements document. We are seeking a highly skilled Data Product Manager cum Business Analyst to envision Data Products & implement. This role will focus on gathering and translating data engineering and analytics requirements into actionable deliverables, ensuring alignment with business objectives. The ideal candidate will have strong experience in retail domain, data platforms, and analytics tools such as Incorta and Databricks.

Key Result Areas and Activities:
Product Vision & Strategy: Define and execute the vision, strategy, and roadmap for data products. Align with business objectives and evolving needs to ensure maximum value. Maintain regular communication with business units to ensure the strategy meets evolving demands.
End-to-End Lifecycle Management: Lead the lifecycle of data products from ideation to launch, including requirement gathering, prioritization, documentation, and execution of features and enhancements.
Cross-Functional Collaboration: Partner with business, data engineering, BI development, and analytics teams to develop and maintain data products and platforms, ensuring governance, security, and compliance. Proactively address upcoming requirements.
Stakeholder Management & Communication: Act as liaison between technical teams and business stakeholders. Serve as a Subject Matter Expert (SME) on operations, translating technical concepts into actionable insights. Create impactful documentation and presentations to share updates, demos, and recommendations. Drive engagement and adoption through clear storytelling and visuals.
Data Quality Assurance: Conduct user acceptance testing (UAT) and validation to maintain data integrity, accuracy, and consistency

Essential Skills:

9+ years in requirement gathering, analysis and coordination for data engineering and analytics products, at least 5 years in Retail domain
Strong experience in managing business priorities and stakeholder communication
Possesses strong expertise in SQL with the ability to design and optimize complex queries for challenging scenarios.
Proficiency in BI tools (e.g., Power BI, Tableau, Incorta, MicroStrategy), data visualization, and analytics platforms
Strong documentation skills for capturing requirements, project status, and user feedback.
Experience delivering product demos and hosting user conferences to support training and adoption.
Familiarity with Agile methodologies and product management tools (JIRA, Confluence).
Excellent analytical, problem-solving, and decision-making skills with the ability to turn complex data into actionable insights.
Strong communication, leadership, and stakeholder management skills to translate concepts into business value and drive collaboration.
Exceptional presentation skills, including proficiency with PowerPoint and related tools
Retail Industry Experience – understanding of eCommerce, Brick & Mortar (B&M), and wholesale models, with knowledge of how data products drive sales, customer engagement, and operational efficiency. (Preferred)

Desirable Skills:

Understanding of ETL tools DataBricks, Qlik, Kafka, Snowflake
Working knowledge of AI frameworks
Knowledge of retail-specific data (inventory management, customer segmentation, pricing) and exposure to retail data sources (point of sale, loyalty programs, supply chain data). (Preferred)
Experience with Finance, Integrated Business Planning, Supply Chain, and Sales & Operations Planning (S&OP) processes, including how analytics supports forecasting, budgeting, and end-to-end planning. (Preferred)
Experience with eCommerce platforms and omnichannel strategies, including insights into online behavior and digital marketing analytics. (Preferred)
Familiarity with trends and best practices in data & analytics, especially retail analytics. (Preferred)
Understanding of machine learning applications such as recommendation systems and demand forecasting, plus basic data science principles. (Preferred)

Qualifications:

Bachelor’s degree in computer science, engineering, or related field (Master’s degree is a plus)
Demonstrated continued learning through one or more technical certifications or related methods
At least 9+ years in requirement gathering, analysis and coordination for data engineering and analytics products, at least 5 years in Retail domain

Qualities:

Analytical thinking to resolve delivery challenges quickly
Handling dynamic project scope & emerging business needs
Clear, concise and persuasive communication for governance meetings and presentations

Years Of Exp

9 to 11 years

Location

Pune, Maharashtra, India

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Data Product Manager