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
