The Data Analytics Product Line Owner is responsible for defining the data analytics strategy, road map, design, product features, and deployment for the data lake and analytics platform for Dairy Farm across 11 markets, and multiple banners in Food, Health and Beauty, Convenience and Furnishings.  This strategic enterprise data lake platform, which collects, stores and provides access to Asia divisional data. This platform also supports and enables analytics, digital transformation and operational improvements. This involves researching, recommending and choosing optimal problem solving solutions to create and design the modern data architecture as well as to maintain and monitor the success of these solutions. The incumbent must have a passion for how data can be leveraged and used to drive deeper, meaningful insights that enhance the customer experience, grow our businesses, minimize risk and engage our employees globally.

The Job:

• The Data Analytics Product Line Owner has primary responsibility for:
• Design and create the Modern Data Architecture: Setting the strategic rollout, selection and delivery of proven as well as emerging tooling to ensure that data pipelines are scalable, repeatable and secure serving multiple users within the organization. The incumbent is responsible for implementing highly complex, multi-faceted big data initiatives associated the following functions areas:
• Work with the customers from various groups to understand the analytics needs and create the appropriate solutions in a timely manner.  Translate complex functional and technical requirements into detailed design and high performing capabilities;
• Lead a team to support the implemented data patterns and services - both batch, real-time and complex event handing - leveraging open technologies;
• Work with the Development and Support COE team to ensure the timely delivery and incident resolution to meet SLA by investigating issue and design and implement the resolution.
• Lead a team to effectively manage operational risk and change with a continuous focus on process improvements.
• Responsible for the Governance and Controls of this analytics platform: Responsible for ensuring all data management processes conform to standard operating procedures and aligns with how a modern data architecture aligns to enterprise technology standards and policies; contribute and provide guidance around data quality, metadata management, data stewardship and security, and access controls.
• Innovation and Continuous Improvement: Evaluate/conduct PoC of new data technologies and capabilities that are value-driven; work closely with product innovation teams, remain current with industry advancements working closely external vendors as well connected to the Apache Foundation projects;

The Person:

• Demonstrated 6-8 years professional experience in big data/data management including a university degree in Engineering, Computer Science or equivalent program;
• Extensive expertise in data technologies and the use of data to support software development, advanced analytics and reporting. Particular focus on Cloud (Azure) and Hadoop-based technologies and programming or scripting languages like Java, Scala, Linux, C++, PHP, Ruby, Python, R and SAS. Also expert knowledge should be present regarding different (NoSQL or RDBMS) databases such as Hawq/HDB, MongoDB, Cassandra or Hbase;
• Working experience with modern data streaming process with Kafka, Apache Spark, Flink and data ingestion framework NiFi, Hive, Pig, etc.
• Experience with security/data protection solutions, Kerberos, Active Directory, HDFS Access Control, OAuth2, OpenID, LDAP
• Experience and capability in translating non-technical user requests into complex technical specifications and solutions that meet these requirements;
• Excellent organizational and time management skills, with ability to multi-task. Ability to work with minimal or no supervision while performing duties; has the ability and initiative to organize various functions necessary to accomplish department activities or goals and be a strong team player.