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The Head of Data Sciences/Analytics is a senior executive responsible for overseeing the organization's data strategy, governance, analytics, and technological initiatives. The Head of Data Sciences/Analytics will lead the design, implementation, and management of data policies to enhance PRAL's efficiency, innovation, and decision-making capabilities, ensuring alignment with its mission of advancing tax administration and revenue collection systems.
Key Responsibilities
Strategic Leadership
- Develop and implement a comprehensive data strategy aligned with PRAL's business objectives.
- Provide vision and direction for the use of data as a strategic asset.
- Collaborate with executive leadership to integrate data-driven insights into organizational decision-making processes.
Data Governance
- Establish and enforce data governance frameworks, standards, and best practices.
- Ensure compliance with legal, regulatory, and ethical standards in data usage.
- Promote data security and privacy, mitigating risks associated with data breaches or misuse.
Data Management
- Oversee the development and management of data architectures, platforms, and tools.
- Ensure the accuracy, availability, and accessibility of critical data assets.
- Drive the creation of advanced data warehousing and analytics systems.
Analytics & Innovation
- Lead the development of advanced analytics, including AI and machine learning, to extract actionable insights.
- Promote the adoption of data-driven innovation across departments.
- Monitor emerging technologies and trends to maintain PRAL's competitive edge.
Team Leadership
- Build, mentor, and lead a multidisciplinary data team, including data scientists, analysts, engineers, and governance professionals.
- Foster a culture of collaboration, continuous learning, and excellence within the team.
Qualifications
Education
- Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Sciences, or related field.
Experience
- Minimum of 10 years of experience in data management, analytics, or related fields, with at least 5 years in a leadership role.
- Proven track record of implementing data strategies and driving business impact.
Skills
- Strong expertise in data governance, analytics, and emerging technologies.
- Proficiency in tools and platforms for big data, cloud computing, and business intelligence.
- Exceptional leadership, communication, and problem-solving skills.
What PRAL Offers:
- A dynamic and collaborative work environment.
- Opportunities for professional growth and advancement.
Competitive salary and benefits package.
工作详细内容
Pakistan Revenue Automation (Pvt) Ltd
Pakistan Revenue Automation (Pvt.) Ltd. (acronym – PRAL) has extensive experience of working with federal and provincial tax and revenue agencies to provide wide variety of tax and revenue collection solutions. Since its incorporation in June, 1994, PRAL has been involved in the development of wide array of tax and revenue related solutions pertaining to Income Tax, General Sales Tax, Federal Excise, Customs, Capital Value Tax, Provincial Sales Tax & Services. etc. Over more than two decades of services, PRAL has gained valuable experience of increasing efficiency and efficacy of tax and revenue agencies through use of latest Information and Communication Technologies with Business Process Improvement / Re-engineering. PRAL has also proven its expertise in the areas of software development, project management, technical advisory and consulting services, managing data centers, large databases management, network administration, software implementations, trainings and data entry services. This wide spectrum of services offered by PRAL facilitates our valued customers looking for One-Stop Shop solutions from conceptualization to post-implementation operations. The essence of PRAL’s business strategy is to develop sustainable partnerships with its customers thus acting as a catalyst in transforming and adapting its IT solutions and integrating these to the “New Wave of Technological Innovations” to meet the global requirements of tax and revenue agencies.
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