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PeopleLAKE Group

Product Owner / Product Management Lead - Data Analytics (FMCG industry)

Early Applicant
  • 10 days ago
  • Be among the first 50 applicants

Job Description

About Our Client

Our client is a multinational food products corporation - committed to health and sustainabilitY.

Why Should You Apply For The Job

Global Presence: With operations in many countries, it offers the possibility of international experience and collaboration with colleagues from different cultures and backgrounds.

Innovation and Growth: The company invests in innovation and continuous improvement, which can be exciting if you enjoy working on cutting edge projects in a dynamic environment.

Inclusive Culture:Promotes an inclusive and diverse workplace, aiming to create an environment where everyone feels valued and respected.

Strategic Leadership

You will be responsible for:

  • Data Mindset: Drives the usage and adoption of Data products through underlying methodologies including usage of test and learn approach, leveraging the benefits of SSOT (single source of truth), user centricity, data & analytics and automation
  • External Perspective: Brings the outside-In by identifying key partnerships with leading data and technology providers to bring industry best practices to the company.

Delivering Change

  • Data products delivery: Accountable for the delivery of data products capabilities supporting the functional strategy (on time, in scope, on budget). Ensure management of Data Products through lifecycle.
  • SSOT activation: Responsible for the utilization across markets of the Single Source of Truth Strategy.
  • Promotes Data & Analytics: Takes an active role in promoting and communicating about data products and data strategy across all communication channels.

Operational Excellence

  • Scoping: Ensure scoping and functional design is delivered and supports project squads with delivery of strategic projects with respect of agreed timeline and budget.
  • Backlog:Builds and manages the backlog of user's stories/requirements and prioritizes for development accordingly.
  • MVPs: Maximizes efficiency in a constantly evolving environment using Minimal Viable Product delivery, and rapid prototyping.
  • Value added: Possesses a strong analytical background, and ability to deliver value to end users.
  • Product innovation: Identify new opportunities to enhance current operating processes and implement strategies to address those opportunities.

About The Job

  • Defining Data Analytics product strategy for a functional domain.
  • Managing Data Products end to end lifecycle (from ideation phase to decommissioning phase).
  • Maximizing ROI by identifying and prioritizing the product features by business value.
  • Working closely with Business or Process Owner to define product strategy, and with Scrum Product.
  • Own and manage product backlog and to report the performance of products and applications.
  • Be proficient in the business processes that collect data and those that use data.
  • Be an expert in understanding and also communicating data lineage, where they come from, their data quality, their transformation and where they are used, why they are used.
  • Developing and managing business requirements, collaborate with Product Analyst to write user stories, and communicating vision to developers and testers.
  • Leveraging Agile methodologies in the product development phases.
  • Defining product cost models and assuring control of the budget and costs of data products.
  • Being determined to become an inspiration to business or process end users of data and analytics and their management.
  • Managing the total cost of product development, ownership, and user unit cost including spend on vendors and services provided by other platforms (Infra, Data Platform, Enterprise Architecture, etc.)
  • Defining support model for the product in collaboration with Global Data & Analytics team.
  • Liaise with Solution & Data Architects on Data Architecture.
  • Liaise with Data Management team on Data Governance and Data Quality.
  • Liaise with Data Science team on AI.
  • Work with product squads to support delivery of strategic projects with respect of agreed timeline and budget, ensuring proper scoping and functional design.

Requirements

  • Proven track record of implementing Data products related to data in the areas of sell-out Market share (Nielsen, IRI), Media, Revenue Growth Management, Trade Promotion, In Store Execution, e-Commerce and experience in integrating sources with standard MDM principles.
  • Ability to demonstrate a mix of technical skills and business processes knowledge and proven experience in rolling out a data product in multiple markets within a region. Essential to have experience in data catalogue documentation and manage the product use throughout all the stages of the product lifecycle.
  • Experience working with Data Architects, Data Scientists and Visualization teams. Ability to define user stories and prioritizing backlog in accordance with vision of the product.
  • Strong ability to connect stakeholders in a complex organization, managing stakeholders from Global, Regional, Local, Business and IT colleagues.

About You

  • Bachelor's Degree in Computer Science, Information Systems, Information technology, or equivalent field of study.
  • Minimum 10 years of working experience in Data Analytics.
  • Experience working as Product Owner for Data Analytics products.
  • Waterfall and Agile methodology experience.
  • Knowledge of modern Data organization (Data Warehousing, Analytics, BI, Big Data, Operational Data Store, Metadata, Master Data, Unstructured Data, ETL/ELT) & Cloud Data technologies (Azure, AWS, Snowflake, Informatica).
  • Proficiency in English, excellent written and communication skills.
  • Capability to express complex data concepts into business language for stakeholder management.

For more information, kindly contact Sunny Khoo via WhatsApp at 012-5164406 or via email at [Confidential Information]

Thank you.

More Info

Date Posted: 14/11/2024

Job ID: 100367143

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