Data Governance Manager
At a glance
Manager-level Data Architecture & Governance role at Nestlé. Jakarta.
Pay not stated Data Architecture & Governance salary
dataroles summary, based on the employer's posting.
What you'll do
- Build support among functional and business leaders, securing sponsorship for the local governance plan
- Turn data challenges into prioritized initiatives, then line up the people and resources needed to deliver them
- Set ownership, responsibilities and capabilities for the local governance model, addressing gaps in data expertise
- Strengthen rules and controls for data quality, privacy, security, retention, ethics and lineage
- Promote approved enterprise data tools for analytics and AI, while tracking performance and resolving governance issues
What you bring
- A bachelor’s degree in IT, business administration or a related field
- Relevant work in data governance, data management, data quality or a related area
- A solid grasp of data needs across major business processes, such as Order to Cash, Source to Pay or another listed process
- Clear English communication, cross-functional collaboration and change leadership skills
- Experience guiding a team or mentoring others, running cross-functional projects and working with senior stakeholders
Who this fits
This manager role suits someone who can lead governance work across functions and business teams, and engage senior stakeholders. It is based at the Jakarta head office.
From the employer
Data Governance Manager
Position Snapshot
Location: Jakarta, Indonesia (Head Office)
Company: Nestlé Indonesia
Employment Type: Full Time
Position Summary
Joining Nestlé means joining the largest food and beverage company in the world. At our core, we are a human environment, driven by passionate people and guided by the purpose of unlocking the power of food to enhance quality of life for everyone, today and for generations to come.
As a Data Governance Manager, you will lead the implementation of Nestlé Indonesia’s data governance strategy across functions and businesses. You will help teams use reliable, well-managed data to improve decision-making, efficiency, compliance, and business performance.
You will work closely with business and functional leaders to understand their data challenges, prioritize the most important opportunities, and build a practical roadmap. You will also promote the use of global data tools and services while ensuring that local solutions follow Group and Zone guidelines.
A Day in the Life of a Data Governance Manager
- Build stakeholder support for data governance: Partner with leaders across functions and businesses, explain the value of data governance, and secure sponsorship for the local strategy and roadmap.
- Turn business needs into a clear roadmap: Identify data-related challenges and opportunities, prioritize initiatives, and coordinate the people and resources needed to deliver measurable improvements.
- Establish the local data governance operating model: Define clear roles, responsibilities, ownership, and required capabilities. Identify gaps and support the onboarding or development of subject-matter experts and data owners.
- Improve data quality, consistency, and control: Help strengthen policies, workflows, standards, and controls covering data quality, security, compliance, privacy, retention, ethics, discoverability, and lineage.
- Drive adoption of enterprise data solutions: Encourage teams to use approved data domains, tools, and services as the first choice for Analytics and AI use cases, while reducing unnecessary duplication in local platforms.
- Monitor performance and lead continuous improvement: Track relevant KPIs, address gaps in data maturity, coverage, and quality, and identify opportunities for automation, process improvement, and data literacy.
- Support governance forums and issue resolution: Participate in data governance working groups, support decision-making, and establish clear communication and escalation channels for resolving data issues.
What Will Make You Successful
- Bachelor’s degree in Information Technology, Business Administration, or a related field.
- Relevant experience in data governance, data management, data quality, or a related area. Experience in a multinational organization is preferred.
- A good understanding of how data supports major end-to-end business processes, such as Order to Cash, Source to Pay, Record to Report, Hire to Retire, Idea to Launch, and Plan to Execute.
- Strong strategic thinking and the ability to work effectively across different functions and business teams.
- Clear communication skills in English, strong collaboration skills, and the ability to lead change.
- Familiarity with data governance tools and practices, data quality management, and data literacy programs.
- Experience leading or mentoring a team, managing cross-functional projects, and working with senior stakeholders.
- Experience in FMCG, consumer goods, retail, or a similar industry is an advantage.
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