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
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Gather, analyse, and document business requirements related to data, reporting, analytics, and insights.
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Facilitate workshops with business stakeholders to understand data needs and define success criteria.
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Translate business requirements into functional and technical specifications for data engineering and analytics teams.
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Create and maintain Business Requirement Documents (BRD), Functional Requirement Documents (FRD), and user stories.
2. Data Analysis & Data Governance
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Analyse source-to-target data flows and identify data quality issues.
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Define data mapping, data lineage, and business rules.
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Support data governance initiatives by ensuring adherence to data standards and policies.
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Collaborate with data stewards and governance teams on metadata management and data cataloging.
3. Stakeholder Management
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Act as a bridge between business users, data engineers, architects, BI developers, and leadership.
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Conduct regular stakeholder meetings and provide project status updates.
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Manage expectations, prioritize requirements, and resolve conflicts.
4. Project Planning & Delivery Management
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Develop project plans, timelines, milestones, and resource allocation strategies.
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Track project progress, risks, dependencies, and issues.
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Ensure delivery aligns with business objectives, budget, and schedule.
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Manage Agile ceremonies (Sprint Planning, Daily Standups, Reviews, Retrospectives) or Waterfall project milestones.
5. Data & Analytics Solution Delivery
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Support development of Data Warehouses, Data Lakes, Lakehouse’s, and Data Marts.
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Drive implementation of reporting and dashboard solutions using Power BI, Tableau, , etc.
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Ensure analytical solutions meet business KPIs and reporting requirements.
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Coordinate UAT and business sign-off processes.
6. Data Quality & Validation
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Define data quality metrics and validation rules.
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Coordinate data reconciliation and testing activities.
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Ensure completeness, accuracy, consistency, and timeliness of delivered data.
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Work with engineering teams to address data defects and production issues.
7. Risk & Issue Management
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Identify project risks related to data availability, privacy, integrations, and compliance.
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Develop mitigation plans and escalate critical issues proactively.
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Monitor dependencies across multiple workstreams.
8. Reporting & Executive Communication
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Prepare project dashboards and executive-level status reports.
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Present project updates, risks, achievements, and recommendations to leadership.
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Communicate business value and expected outcomes from data initiatives.
9. Continuous Improvement
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Identify opportunities for process automation and operational efficiency.
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Recommend best practices for data management, reporting, and project execution.
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Drive lessons learned and process improvements across projects.
Preferred Data Skillset
Functional Skills
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Requirements Gathering
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Business Process Analysis
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Data Modelling Concepts
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Data Governance
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Data Quality Management
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KPI & Metrics Definition
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UAT Management
Technical Skills
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SQL (Mandatory)
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Power BI / Tableau
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Azure Data Factory (ADF)
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Azure Synapse / Databricks/Alteryx
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Snowflake
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Data Warehousing Concepts
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ETL/ELT Processes
Project Management Skills
