Data Manager

Position Title: Data Manager- Information Technology

Company Name:

Department:

Experience:

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Position Overview

Data

and modern data technologies. The incumbent will independently design, develop, and manage BI systems, dashboards, and analytical models that support strategic and operational decision-making.

Key Responsibilities

1. Data Strategy & Management

• Design and implement enterprise-level

  data management and integration strategies

  .
• Maintain and optimize

  data pipelines

  ,

  ETL processes

  , and

  data storage

  solutions.
• Ensure high standards of

  data accuracy, consistency, and governance

  across systems.

2. Business Intelligence & Analytics

• Develop and maintain

  interactive dashboards and reports

  using

  Power BI

  and related BI tools.
• Perform

  data modelling, visualization, and trend analysis

  to deliver actionable insights.
• Partner with business users to gather requirements and translate them into technical solutions.

3. Big Data & Data Lake Architecture

• Manage and optimize

  Big Data environments

  ,

  Data Lakes

  , and

  data warehouses

  .
• Build and maintain scalable

  data ingestion pipelines

  using modern data tools and cloud platforms.
• Implement and maintain high-performance

  data retrieval and processing systems

  .

4. Artificial Intelligence & Machine Learning

• Design and deploy

  AI/ML models

  to support forecasting, automation, and data-driven decision-making.
• Work with structured and unstructured data to identify patterns, correlations, and predictive opportunities.
• Continuously explore new ML techniques and frameworks relevant to business needs.

5. Cross-Functional Collaboration & Data Management

• Collaborate with business units to identify data gaps, reporting needs, and process improvements.
• Translate complex data into simple, meaningful visualizations for management teams.
• Support various departments with analytical solutions and performance reports.

6. Technology Implementation & Innovation

• Evaluate, implement, and maintain cutting-edge

  data technologies

  ,

  cloud solutions

  , and

  analytics tools

  .
• Automate manual reporting processes through scripting and workflow tools.
• Lead end-to-end delivery of analytics and BI projects independently.

7. Compliance, Security & Documentation

• Ensure data privacy, compliance, and cybersecurity best practices are followed.
• Maintain proper documentation for systems, dashboards, data models, and processes.
• Implement data backup, recovery, and audit mechanisms as per IT policies.

Required Skills & Qualifications

• Bachelors or Masters degree in

  Computer Science

  ,

  Information Technology

  ,

  Data Science

  , or a related field.

• 8+ years of hands-on experience

  in IT, Data Analytics, or Business Intelligence.
• Strong proficiency in

  Power BI dashboards

  ,

  SQL

  ,

  Python/R

  ,

  Azure/AWS Data Services, Google Cloud

  , and

  ETL tools

  .
• Solid understanding of

  data warehousing

  ,

  data modelling

  ,

  data governance

  , and

  cloud-based BI

  .
• Proven ability to independently handle

  end-to-end data lifecycle

  from extraction to visualization.
• Exposure to

  AI/ML model development

  ,

  Big Data

  , and

  Data Lake architectures

  .
• Excellent analytical thinking, problem-solving, and communication skills.
• Self-motivated, detail-oriented, and capable of managing multiple priorities independently.

Preferred Skills

• Certification in

  Power BI

  ,

  Azure Data Engineering

  , or

  AI/ML technologies

  .
• Experience with

  Databricks

  ,

  Snowflake

  ,

  Google BigQuery

  , or

  Azure Synapse Analytics

  .
• Familiarity with

  predictive analytics

  ,

  data automation

  , and

  advanced statistical techniques

  .