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Director of Data Warehousing and Data Analytics in Gauteng - Emerging Search Consultants

Emerging Search Consultants

We are an International Recruitment Firm. We do niche recruitment and specialise in engineering, fmcg, oil & gas, sales & marketing, legal, financial, IT and HR recruitment Recruiter from sector Engineering, located in Gauteng, From 1 to 10 workers

    About this job ad 14 August

    Province

  • Johannesburg, City of Johannesburg, Gauteng
  • Description


  • Salary type:
    Annual
    Salary:
    ZAR 2,000,000.00
    Job ID:

    31301

    Job Description
    International Technology organisation with a presence in over 50 countries. They are listed on multiple stock exchanges around the world and have won numerous Industry Leadership, awards.                                                                                       
    You will report into senior stakeholders at a C-Level and at a multiple regional level. You will engage and work closely with multiple CIO’s and COO’s.
    Day to Day Responsibilities:
    You are responsible for designing and validating a complex architecture and ensuring its successful implementation.
    You should be able to identify and challenge several IT scenarios by taking into account the business environment.
    You work as a stream lead at CIO/CTO level in major client organizations.
    You lead the operations relating to market development and/or service delivery excellence.
    Role & Responsibilities:
    Develop analytics sub-practice with the Banking and Financial Services space,
    Generate and execute the Data Science roadmap strategy for sector and for the current clients in the practise area,
    Develop internal industry solutions with management for given sector.
    Provide guidance on multiple engagements to ensure successful delivery while balancing internal initiatives.
    Contribute to thought leadership and facilitate client relations across network of existing and potential clients.
    Quickly understand client needs, assemble teams, manage delivery, and articulate findings to client executives.
    Prospect, generate, and deliver new business opportunities in given sector to meet revenue targets.
    Analyze and model both structured and unstructured data from a number of distributed client and publicly available sources.
    Perform and feature engineering to both inform the development of statistical models and generate improve model performance and flexibility.
    Design and build scalable machine learning models to meet the needs of given client engagement.
    Assist with the mentorship and development of junior staff.
    Assist in growing data science practice by meeting business goals through client prospecting, responding to proposals, identifying and closing opportunities within identified client accounts.
    Participate in client discussions, interact with CxOs at client organization to articulate the value of data science approaches, different service offerings and guide them on implementation of the same. 
    Collaborate with client managers in a broad range of sectors to identify business use cases and develop solutions in driving impact through data science and analytics, communicate results, and inform practice group through reports and presentations.
    Work with the organisations global data science leadership to execute identified business use cases on time and manage project delivery / client expectations.
    Develop, enhance, and maintain client relations while ensuring client satisfaction.
    Ability to successfully deliver and manage multiple client engagements globally.
    Requirements:
    5-10 years professional work experience as a data scientist or on advanced analytics / statistics projects, ideally within the Data Warehousing realm
    5+ years experience in Banking or Financial Services space
    Bachelor’s degree from in Computer Science, Statistics, Economics, Physics, Engineering, Mathematics, or other closely related field.  
    Ideally a post grad or masters or PhD in addition to the undergraduate degree but not essential
    Non-negotiable requirements:
    Must have worked on MULTIPLE PROJECTS to the value of + Million Dollars
    Must have been client facing and worked closely with sales team
    Strong understanding, application and experience in statistical methods and skills.
    In-depth experience and understanding on DATA ANALYSIS, DATA DESIGN and DATA SOLUTIONING
    Statistical emphasis on data mining techniques, hierarchical mixed models/multi-level modelling, and ability to answer questions about underlying algorithms and processes.
    Mastery of statistical software, scripting languages, and packages (e.g. R, Matlab, SAS, Python, Pearl, Scikit-learn, Caffe, SAP Predictive Analytics, KXEN, etc.).
    Knowledge of or experience working with database systems (e.g. SQL, NoSQL, MongoDB, Postgres, etc.)
    Experience working with big data distributed programming languages, and ecosystems (e.g. S3, EC2, Hadoop/MapReduce, Pig, Hive, Spark, SAP HANA, etc.)
    Experience building scalable data pipelines and with data engineering/ feature engineering.
    Experience building and deploying predictive models.
    Track record delivering successful data science projects and managing global teams.
    Demonstrated leadership by building Data Science teams and fostering growth.
    Proven success generating growth and hitting revenue targets.
    Delivery Architects assess a project’s technical feasibility, as well as implementation risks.  They are responsible for designing and implementing a project’s technical architecture. They define the structure of a system, its interfaces, and the principles that guide its organization, software design and implementation. The scope of the Delivery Architect’s role is bounded by the business issue at hand. A Delivery Architect needs to have knowledge of all the different aspects of the technical Delivery as well as robust business knowledge. This includes the Software Architect.

  • Requirements

  • Language(s): English
  • Availability for travel: No
  • Availability for change of residence: No

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