Senior Manager, Artificial Intelligence at Etiya
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Istanbul Technical University
3.05, Computer Engineering
January 1, 1991 – Present
Canakkale Anadolu Lisesi
9.53, Maths
January 1, 1984 – Present
Etiya
Senior Manager, Artificial Intelligence
January 1, 2020 – Present
Etiya
Artificial Intelligence Manager
September 1, 2017 – January 1, 2020
Etiya
Senior Data Warehouse Consultant
January 1, 2012 – September 1, 2017
BankPozitif
Head of Database Administration
December 1, 2005 – August 1, 2010
Turkcell
Data Engineer
March 1, 2004 – December 1, 2005
Turkish General Staff
Military Service
April 1, 2003 – December 1, 2003
Tekstilbank
Project Leader / Senior Oracle DBA
September 1, 1999 – December 1, 2002
Bank Kapital
Software Engineer
September 1, 1998 – September 1, 1999
Sistek
Analyst/Programmer
January 1, 1997 – September 1, 1998
RAM Koc Holding Company
Programmer
February 1, 1995 – January 1, 1997
Cultural Fit Analysis
The candidate has a diverse career path spanning multiple companies and roles, including significant time in banking and telecommunications. While the recent focus has been on Artificial Intelligence, the foundational experience in Data Warehousing and ETL is very strong. The long tenure at Etiya, progressing through various roles, suggests loyalty and growth within an organization. The shift from core data roles to AI management indicates a broad technical interest and adaptability, which could be a good fit for dynamic environments. However, the recent AI focus might require a re-alignment to a pure ETL role, potentially indicating a different career trajectory than a dedicated ETL specialist.
Soft Skills & Operational Fit
The candidate's career progression from programmer to senior manager, including roles like Project Leader and Head of Database Administration, indicates strong leadership, project management, and operational oversight skills. The descriptions of successfully handling core banking failovers and managing AI teams suggest resilience, problem-solving, and strategic thinking. The transition into AI management also shows adaptability and a willingness to embrace new technologies.