Project Manager
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### **Job Information**
Industry
**IT Services**Date Opened
**07/15/2026**Job Type
**FTE**Work Experience
**9\-12**City
**Hyderabad**State/Province
**Telangana**Country
**India**Zip/Postal Code
**500081**### **Job Description**
At Prolifics, we are currently implementing multiple solutions in Software Development, and we are looking to hire a talented Project Manager for our development center in India. This position would be based out of Hyderabad and is a permanent position. If you are looking for a high growth company with rock\-solid stability, if you thrive in the energetic atmosphere of high\-profile projects, we want to talk to you today! Let’s connect and explore the possibilities of having you onboard the Prolifics team!
Job Title:Project Manager
Primary skills: Data Modelling Concepts
Secondary skills: KPI \& Metrics Definition
Location: Hyderabad (Mindspace\#12B)
Educational Qualification: B.Tech/BE/M.Tech/MCA/M.Sc
**Experience: 10\+ Years** **Role Overview:** **Key Responsibilities for Data BA/PM**
**1\. Business \& Requirements Management**
* Gather, analyse, and document business requirements related to data, reporting, analytics, and insights. * Facilitate workshops with business stakeholders to understand data needs and define success criteria. * Translate business requirements into functional and technical specifications for data engineering and analytics teams. * Create and maintain Business Requirement Documents (BRD), Functional Requirement Documents (FRD), and user stories.
**2\. Data Analysis \& Data Governance**
* Analyse source\-to\-target data flows and identify data quality issues. * Define data mapping, data lineage, and business rules. * Support data governance initiatives by ensuring adherence to data standards and policies. * Collaborate with data stewards and governance teams on metadata management and data cataloging.
**3\. Stakeholder Management**
* Act as a bridge between business users, data engineers, architects, BI developers, and leadership. * Conduct regular stakeholder meetings and provide project status updates. * Manage expectations, prioritize requirements, and resolve conflicts.
**4\. Project Planning \& Delivery Management**
* Develop project plans, timelines, milestones, and resource allocation strategies. * Track project progress, risks, dependencies, and issues. * Ensure delivery aligns with business objectives, budget, and schedule. * Manage Agile ceremonies (Sprint Planning, Daily Standups, Reviews, Retrospectives) or Waterfall project milestones.
**5\. Data \& Analytics Solution Delivery**
* Support development of Data Warehouses, Data Lakes, Lakehouse’s, and Data Marts. * Drive implementation of reporting and dashboard solutions using Power BI, Tableau, , etc. * Ensure analytical solutions meet business KPIs and reporting requirements. * Coordinate UAT and business sign\-off processes.
**6\. Data Quality \& Validation**
* Define data quality metrics and validation rules. * Coordinate data reconciliation and testing activities. * Ensure completeness, accuracy, consistency, and timeliness of delivered data. * Work with engineering teams to address data defects and production issues.
**7\. Risk \& Issue Management**
* Identify project risks related to data availability, privacy, integrations, and compliance. * Develop mitigation plans and escalate critical issues proactively. * Monitor dependencies across multiple workstreams.
**8\. Reporting \& Executive Communication**
* Prepare project dashboards and executive\-level status reports. * Present project updates, risks, achievements, and recommendations to leadership. * Communicate business value and expected outcomes from data initiatives.
**9\. Continuous Improvement**
* Identify opportunities for process automation and operational efficiency. * Recommend best practices for data management, reporting, and project execution. * Drive lessons learned and process improvements across projects.
**Preferred Data Skillset**
**Functional Skills**
* Requirements Gathering * Business Process Analysis * Data Modelling Concepts * Data Governance * Data Quality Management * KPI \& Metrics Definition * UAT Management
**Technical Skills**
* SQL (Mandatory) * Power BI / Tableau * Azure Data Factory (ADF) * Azure Synapse / Databricks/Alteryx * Snowflake * Data Warehousing Concepts * ETL/ELT Processes
**Project Management Skills**
* Agile/Scrum
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