Ab InBev - Director - Hadoop/Python/SQL (5-10 yrs) Bangalore (Systems/Product Software)
Ab InBev
Bangalore, India
6d ago
source : hirist.com

Job Title : Director, Analytics

Location : GAC, Bangalore

Reporting to : Global VP, Analytics

1. PURPOSE OF ROLE :

Please summarise the overall purpose of the role :

  • Develop strong analytics, data and technological capabilities for NAZ
  • Bring in software engineering best practices in way we work
  • Coach, mentor and develop people
  • Build strong stakeholder relationships
  • 2. KEY TASKS AND ACCOUNTABILITIES :

  • Develop strong analytics, data and technological capabilities for the program and extend that to full fledged assortment optimization for off-trade / on-trade
  • Bring in software engineering best practices e.g. adoption of agile model of development, managing code repos, working on cloud etc. to solution development
  • Create strong technical talent that spans data science, engineering, database modellers, ETL automation within the team
  • Coach, mentor and develop people using PDPs, 1-1, skips & also bring in newer senior talent.
  • Create clear career development plans for each team member
  • Build strong stakeholder relationships with NAZ Solutions and Business teams.
  • BUSINESS ENVIRONMENT :

    Main Characteristics : Challenges

  • Be a subject matter expert in doing technical review of outputs, ways of working
  • Maintain effective relationships with all implementation partners to implement the recommendations.
  • Ensuring all the activities have adherence to plan and communicate in advance of any changes
  • Evaluation Criteria (Targets) :

  • All review activities completed in time and without business disruption.
  • Reducing time for refresh
  • Improve KPIs for the program
  • Key Dimensions : - Global Directors

    Key Contacts for Zones : NAZ : Marko Trininic, Philip Theron

    Geographical Scope : NAZ

    QUALIFICATIONS, EXPERIENCE, SKILLS :

    Please list the following requirements :

    Level of educational attainment required :

  • Bachelors or Masters
  • Computer Science or Engineering
  • Previous work experience required :
  • Experience in working with software development, SaaS products
  • Experience in cloud, databases, programming and DevOps
  • Experience in machine learning applications esp. deploying in production
  • Experience in leading and building high performing product development teams
  • Experience in stakeholder management and value creation
  • Language skills required : English (Fluent)
  • IT skills required :

  • Hadoop ecosystem (viz. HDFS, Spark, NoSQL dbs, Hive, Sqoop, Databricks)
  • Agile development tools (viz. Jira, Github, Jenkins)
  • Prior strong proficiency in SQL or Python esp. OOP
  • Microsoft Office
  • COMPETENCIES :

    Behavioural Competencies :

  • Builds trust
  • Interpersonal skills
  • Positive attitude
  • Resilient and adaptable
  • Taking effective decisions with urgency
  • Forward looking in problem solving
  • Interpersonal Expertise :

  • Resolves conflicts constructively
  • Supports diversity and understand others- perspectives
  • Communicates effectively
  • BEHAVIOURAL COMPETENCIES :

    AB InBev Global Competencies :

  • Think big, and takes on big challenges Essential
  • Develop the best people and teams Essential
  • Has impact and influence Desired
  • Executes with discipline Essential
  • Acts as an owner Essential
  • Leads by example Essential
  • JOB ADVERT :

    English Text : Director, Analytics for Assortment Optimization

    Education : Engineering in CS preferred or Quantitative background e.g. Math / Statistics with at least 5+ years in software development

    Mandatory Requirements :

  • Strong track record in leading and developing high performing teams
  • Demonstrate strong thought and technical leadership working with product teams and deploying machine learning in production
  • Strong experience with cloud technologies and expert in architecting solutions
  • Primary Responsibilities : Develop strong analytics, data and technological capabilities in our US business to develop assortment optimization solutions off-trade / on-trade

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