Data Analytics and AI Factory Director

Digiturk; Fatih; On-site; TRY 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Private health insurance

Life insurance

BES pension contribution

Birthday leave

Period leave for women

Nursery allowance

Bayram gift card

Global talent programs

Social events

Dietitian support & on-site lab

TOD membership

Live sports events

Job summary

Digiturk seeks a senior data leader to define and drive enterprise data strategy, architecture, and governance across cloud and hybrid platforms. You will mentor analytics teams, align data initiatives with business goals, and enable AI-ready data ecosystems.

You will collaborate with technology and product teams to ensure compliant, scalable data solutions and lead governance and quality programs across the organization.

Qualifications

• Bachelor's degree in relevant field; Master's preferred.
• 15+ years in data management or enterprise tech; 5+ years in executive roles.
• Proven expertise in data platform architecture and cloud data services.
• Knowledge of BI, analytics, AI and analytics lifecycle.
• Hands-on with ETL/ELT, data pipelines, MDM, data lineage.
• Understanding of data governance, data quality, privacy, and compliance.
• Strong vendor and stakeholder management.
• Experience building and mentoring data/analytics teams.
• Strategic thinking to define data/AI roadmaps with measurable outcomes.
• Ability to translate technical concepts into business value and communicate to execs.

Responsibilities

• Define and maintain enterprise data models and taxonomy.
• Oversee architecture for consistency, scalability, interoperability.
• Align architecture with platform, integration, applications.
• Collaborate across units to maintain domain ownership models.
• Lead data governance frameworks and policies.
• Oversee metadata management and business glossary.
• Define/monitor data quality metrics and remediation.
• Ensure compliance with internal policies and regulations.
• Develop and manage cloud/hybrid data platforms, lakes, warehouses.
• Ensure high availability, performance, cost efficiency of data infrastructure.
• Coordinate across DevOps and analytics teams for data provisioning.
• Embed automation and reusability in pipelines.
• Support analytics and AI initiatives with robust data engineering.
• Optimize platforms for analytics/ML workloads.
• Provide secure access to curated datasets.
• Collaborate with AI leads to accelerate adoption.
• Work with technology, product, compliance, and business teams.
• Lead data-related forums and strategic groups.

Skills

Data leadership

Data architecture

Cloud data services

Data governance

ETL/ELT pipelines

MDM & data lineage

Data privacy

Stakeholder mgmt

Team leadership

Analytics & AI

Executive communication

English fluency

Education

Bachelor's in CS/Engineering/Information Systems

Master's preferred

Tools

Data governance tools

ETL/ELT tools

Job description

Since 1999, when we set out as Turkey’s first digital broadcasting platform, we’ve been bringing sports and entertainment to millions, continuing to inspire along the way. Since 2016, with the global strength of beIN MEDIA GROUP, we’ve been moving forward with innovation at our core—always one step ahead.

At Digiturk, we build together and draw strength from one another. We care, we listen, and we grow together. We truly experience the power of being a team and dreaming together. We value not only our work, but also each other. We share leadership and never stop inspiring.

If you’d like to be "together" with us on this journey, your place is ready!

IDEAL PROFILE

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field; Master's preferred,
• Minimum 15+ years in data management or enterprise technology, with 5+ years in executive leadership roles,
• Proven expertise in data platform architecture, cloud data services, data engineering, and enterprise data lake/warehouse ecosystems,
• Strong knowledge of BI, Advanced Analytics, AI technologies, and end-to-end analytics lifecycle management,
• Hands-on experience with ETL/ELT frameworks, data pipeline orchestration, metadata management, Master Data Management (MDM), and data lineage best practices,
• Solid understanding of data governance frameworks, data quality management, data privacy regulations, and compliance requirements,
• Strong vendor, stakeholder, and cross-functional relationship management skills, with the ability to align business and technology objectives,
• Demonstrated leadership in building, mentoring, and developing high-performing data and analytics teams,
• Strong strategic thinking with the ability to define and execute long-term data and AI road maps while delivering short-term business outcomes,
• Proven ability to translate complex technical concepts into clear business value and effectively communicate data strategy to executive and non-technical stakeholders,
• Excellent analytical, problem-solving, communication, and decision-making skills in a fast-paced, data-driven environment,
• Fluent in English, both written and spoken.

MAIN RESPONSIBILITIES WILL INCLUDE

Data Architecture and Domain Management

• Define and maintain enterprise data models, domain ownership, and taxonomy frameworks,
• Oversee data architecture design across systems to ensure consistency, scalability, and interoperability,
• Supervise the alignment of data architecture with platform, integration, and application landscapes,
• Ensure collaboration across business units to maintain high-quality domain definitions and ownership models.

Data Governance And Quality Assurance

• Lead the implementation of data governance frameworks, roles, and policies at both Group and business levels,
• Supervise enterprise data stewardship, metadata management, and business glossary development,Define and monitor key data quality metrics and remediation programs across data domains,
• Ensure compliance with internal data policies, legal requirements, and regulatory standards.

Data Platform Engineering and Operations

• Oversee the development and management of cloud and hybrid data platforms, data lakes, and warehouses,
• Ensure high availability, performance, and cost efficiency of data infrastructure and pipelines,
• Coordinate across DevOps, infrastructure, and analytics teams to support reliable data provisioning and usage,
• Embed automation and re usability into data pipeline development, ingestion, and orchestration.

Analytics and AI Enablement

• Support advanced analytics and AI initiatives through robust data engineering and modeling support,
• Ensure data platforms and architectures are optimized for analytics and ML workloads,
• Facilitate secure access to curated datasets and model-ready data for analytics teams,
• Collaborate with Group AI leads and domain teams to accelerate AI adoption.

Cross-Functional Collaboration and Alignment

• Work closely with technology, digital product, compliance, and business teams to align data platform services and data access policies,
• Act as the Group lead in data-related forums, transformation initiatives, and strategic working groups.

BENEFITS WAITING FOR YOU AT DIGITURK

• Private Health Insurance that also covers your family,
• Life Insurance that values your life,
• Employer contribution to the Private Pension System (BES) to support your future,
• Birthday leave and a gift card,
• Period leave to support the well-being of our female employees,
• Nursery allowance for our working mothers,
• Bayram gift card to celebrate the holidays,
• Global talent programs that offer development opportunities in a multicultural environment,
• Social events and employee activities where we have fun and succeed together,
• Dietitian support and on-site laboratory services supporting a healthy lifestyle,
• Free TOD membership offering more than sports, including local and international films, TV series, documentaries, and live TV channels,
• Opportunity to closely experience the excitement of the media world; including attending live matches, meeting celebrities you love, and more.