Forensics Technology - Manager - Dubai at EY
Dubai, دبي, United Arab Emirates -
Full Time


Start Date

Immediate

Expiry Date

27 May, 25

Salary

0.0

Posted On

26 Apr, 25

Experience

8 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

It

Industry

Information Technology/IT

Description

IDEALLY YOU’LL ALSO HAVE

  • Strong inter-personal skills, report writing skills and good acumen of client business are essential.
  • Be highly flexible, adaptable, and creative.
  • Comfortable interacting with senior executives (within the firm and at the client)
  • Strong leadership skills and supervisory responsibility.
  • Strong negotiation, communication, and presentation skills.
  • Ability to understand complex technical concepts and articulate them effectively to clients.
  • Self-motivated with a proactive approach to identifying and pursuing new business opportunities.
  • Identify and cultivate relationships with potential clients through various channels including cold calling, networking events, and industry conferences.
  • Understand clients’ business needs and provide tailored technology solutions to address their challenges.
  • Conduct product demonstrations and presentations to showcase the value proposition of our technology solutions.
  • Stay updated on industry trends, competitive landscape, and emerging technologies to maintain a competitive edge in the market.
  • Prepare accurate sales forecasts and reports for management review.
  • Willingness to travel as needed
  • Travelling % involved. – 40 to 60%
Responsibilities

o Run end to end engagements / projects to configure clients on cloud platform
o Work with varied delivery teams to execute projects on time, on budget and with desired quality
o Ensure client satisfaction and repeat business
o Contribute to pre-sales, sales activities – proposals, go to market collaterals

o Mentor the team on ground to scale up and deliver to full potential

  • Qualification required – BTECH/BE/MCA
  • Total Experience – 08 to 12 years
  • PMP / Prince 2 certification preferred
  • Should have developed, designed and delivered solutions / projects on Cloud (Azure)
  • Well versed with Agile product configuration and solution build activities
  • Strong Dev and Design skills primarily in the Microsoft stack
  • Should have strong design experience of Data Solutions - Data storage Data transfer Data manipulation and Data visualization – SQL, ETLs, Power BI / Tableau etc.
  • Very strong at communication, report writing and presenting
  • Should have good knowledge of latest technologies like AI, ML, RPA, Mobile etc.
  • Strong understanding of machine learning techniques for text analysis, such as natural language processing (NLP), classification, clustering, entity recognition, and relationship mapping.
  • Strong in Data Analytics, AI/ ML, Reporting and dashboarding
  • Experience in researching or developing machine learning tools to analyse unstructured data
  • Proficiency in programming languages C#, Python, or R.
  • Ability to present technical results clearly with visualisations using PowerBI, R, Tableau, Qlikview
  • Experience in deep learning for text analysis or image recognition desirable.
  • Background in data science, information retrieval, statistics, computer science, or relevant industry experience.
  • Strong background in designing database schemas and ETL processes in response to business requirements.
  • Advanced data manipulation skills using MS SQL Server , Excel, or scripting languages.
  • Experience in integrating systems and applications through APIs, e.g. REST, and XML/JSON.
  • Experience in working with unstructured data, such as text-heavy documents, email messages, and images.
  • Knowledge of distributed computing using clusters or cloud services like AWS, Azure, etc.
  • Knowledge of NoSQL and Elastic Search technologies would be advantageous.
  • Proven experience as a Data Engineer or similar role, with a strong background in data modelling, ETL development, and database technologies.
  • Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and related services (e.g., AWS Glue, Google BigQuery, Azure Data Factory).
  • Experience working with structured and unstructured data.
  • Excellent problem-solving and communication skills, with the ability to work effectively in a collaborative team environment.
  • Explore and implement new technologies and tools to enhance our data infrastructure and capabilities.
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