29/05 Lincoln Victor
HR at Ab InBev

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AB InBev - Director - Analytics (5-10 yrs)

Bangalore Job Code: 703548

Job Title : Director, Analytics

Location : GAC, Bangalore

Reporting to : Global VP, Analytics

Date :

1. PURPOSE OF ROLE :

- Develop strong analytics, data and technological capabilities for NAZ

- Bring in software engineering best practices in the 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 the 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 skip & 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.

3. BUSINESS ENVIRONMENT :

- 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

4. QUALIFICATIONS, EXPERIENCE, SKILLS :

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

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

5. 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

Women-friendly workplace:

Maternity and Paternity Benefits

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