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Data Management and Analytics Lead/Manager, İstanbul | Koç Kariyerim

Koç Üniversitesi
İstanbul, Türkiye


The Data Management and Analytics Lead/Manager position will be responsible for defining and implementing the strategy and roadmap of Koç University's data management and analytics activities/products while leading a team of data analysts. Hands-on with data mining, analysis, and reporting is essential.

Data Management

  • Document Data Governance policies, standards, procedures, and requirements
  • Define and execute the Data Management strategy and roadmap
  • Data governance and stewardship support include data quality, lineage, and change management.
  • Implement Data Quality programs to improve the accuracy, completeness, and timeliness of data required for decision-making across the organization.
  • Collaborate with Data Owners to Identify data quality issues and opportunities to improve data usage.
  • Partner with Data Stewards on processes and success metrics and lead working groups and associated projects.
  • Conduct data governance audits and certifications for multiple departments, segments, and data domains to determine data maturity within the institution
  • Assists in developing a communication strategy for data governance, including education, issue awareness, data quality successes, regulatory updates, and policy.

Data Analytics

  • Champion Koç University's data-driven culture. Serve as a thought leader and mentor on business domain and analytical techniques.
  • Provide leadership for analytic efforts, including building reports, dashboards, building ML models, complex studies, simulations, testing, etc., to solve unique problems or questions.
  • Define and execute Data Analytics strategy and roadmap
  • Oversee the data/report request process: tracking requests submitted, prioritization, approval, etc.
  • Dive deep into data to proactively identify trends, behaviors, and opportunities to provide actionable insights and identify new opportunities.
  • Develop a comprehensive understanding of current stakeholders' strategic needs across digital platforms. You'll use your analytical expertise to help determine priorities and areas of focus.
  • Define the data and analytics features and roadmap of home-grown digital platforms. Work with the engineering team to implement these features following agile methodologies.
  • Own the data-related applications and IT services


  • Bachelor or higher degree in computer or data science, mathematics, information management, management science, or a related field
  • Data practitioner with experience in data product management, data analysis, data curation and data governance.
  • Minimum of 7 years of professional experience working in a data management or equivalent role (Data Management / Data Governance or BI / Analytics team) with a focus on driving complex, data-driven projects.
  • Professional experience in managing a team
  • Experience in business, data collection, data management, or analytics
  • Understand best practices required to create Data Governance and Data Management solutions across an organization
  • Experience in implementing data catalogs according to data governance policies
  • Understanding of data management concepts and associated business processes, specifically Data Governance, Master Data Management, Metadata Management, Data Quality
  • Experience with various data management tools such as MDM, catalog, and data quality.
  • Experience with large datasets, data pipelines, and ETL tools– big data experience.
  • Demonstrated experience in collaborating with colleagues and taking a business-oriented approach while identifying and balancing risks and providing concise, accurate advice
  • Willingness to engage with partners and users to understand data management requirements
  • Experience with programming languages (SQL, R, Python, etc.)
  • Experience using data visualization reporting tools (e.g., Power BI)
  • Ability to work with multiple stakeholders to identify areas where data and analytics can add value to the business and translate business problems into solution-driven actions
  • Ability to translate technical findings into actionable recommendations through easy-to-digest reports and presentations
  • Ability to effectively partner across all levels and manage multiple projects with high standards
  • Candidates with skills in data science (regression, clustering, forecasting, design of experiments) are a plus.
  • Prior experience in an academic/research environment preferred
  • Excellent verbal, written, and interpersonal communication skills
  • Flexibility in work schedule as needed

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