Director of Data, AI & Analytics Platform

Digiturk

Fatih

On-site

TRY 800,000 - 1,200,000

Full time

8 days ago

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Benefits offered by this job

Private Health Insurance for family

Life Insurance

Employer BES pension contribution

Birthday leave and gift card

Bayram gift card

Job summary

Digiturk is seeking a senior data leader to own enterprise data architecture, governance, and analytics enablement. The role drives data platform strategy across cloud/hybrid environments, ensuring scalable pipelines, data quality, and compliance.

You will mentor high-performing teams and translate complex data concepts into business value for executive stakeholders. The ideal candidate brings 15+ years in data management with executive experience, strong vendor/stakeholder skills, and fluent

Qualifications

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field; Master's preferred.
15+ years in data management or enterprise technology, with 5+ years in executive leadership.
Data platform architecture, cloud data services, data engineering, and data lake/warehouse ecosystems.
BI, Advanced Analytics, AI technologies, and analytics lifecycle management.
ETL/ELT frameworks, data pipelines, metadata management, MDM, and data lineage.
Data governance, data quality, privacy regulations, and compliance requirements.
Vendor, stakeholder, and cross-functional relationship management.
Leadership in building and mentoring data/analytics teams.
Strategic thinking to define/execute long-term data/AI roadmaps.
Translate complex concepts into business value; communicate to executives.
Fluent in English, both written and spoken.

Responsibilities

Data Architecture and Domain Management: Define and maintain enterprise data models and taxonomy.
Data Governance and Quality Assurance: Lead governance, metadata, glossary, and quality metrics.
Data Platform Engineering and Operations: Guide cloud/hybrid platforms, lakes, warehouses, and pipelines.
Analytics and AI Enablement: Support analytics/AI workloads with robust data support.
Cross-Functional Collaboration: Align data platform services with business/tech units and lead data forums.