Data & Analytics - Service Lead (IT)

Job Description

Job Description:

Data & Analytics - Service Lead (IT) | hybrid | Guararema

The Data & Analytics - Service Lead (IT) is a technical leadership role focused on overseeing and supporting the delivery of advanced analytics services within the supply chain domain.

This role works closely with project teams to ensure the successful design, implementation, and coordination of analytics solutions that align with business objectives. By collaborating with stakeholders, the lead ensures that services meet the highest standards of reliability, scalability, and governance, while continuously driving innovation and operational efficiency.

This role emphasizes leveraging cutting-edge data platforms such as Azure, Databricks, Azure Data Factory (ADF), and Azure Data Lake Storage (ADLS) to deliver impactful analytics solutions. Additionally, the role includes working close to SCA Service Management activities, helping to organize cost management, lead optimize, and organize cost reduction optimizations while implementing governance processes for development workflows.

Operating globally, the role partners with business stakeholders, IT teams, and vendors to deliver scalable, efficient, and governed analytics solutions.

What will be your key responsibilities?

Work close to Analytics Architecture and Development Teams:

• Design and implement analytics solutions leveraging Azure, Databricks, ADF, and ADLS, ensuring seamless integration and scalability.

• Build interactive and intuitive visualizations using tools like Power BI, React, and Tableau to empower data-driven decision-making.

• Work close to maintain robust data pipelines for efficient data ingestion, transformation, and storage.

• Enforce best practices for analytics workflows, including security, performance, and scalability.

Data and Analytics Service Coordination:

• Drive cost management strategies, analyzing and optimizing resource utilization across data platforms to reduce operational expenses.

• Implement lead optimization practices to streamline analytics workflows and ensure efficient delivery of insights.

• Monitor and manage budgets for Data and Analytics services, ensuring alignment with enterprise financial goals.

• Develop and lead cost reduction initiatives, identifying and eliminating inefficiencies in data processing and storage.

Governance and Quality Assurance:

• Implement and enforce governance processes for Pull Requests, ensuring coding standards, quality, and compliance with organizational policies.

• Define and oversee data governance policies, including metadata management, data cataloging, and lineage tracking.

• Ensure all analytics solutions align with global standards and enterprise architectural principles.

Transition and Service Delivery:

• Audit the transition of analytics services and platforms, ensuring minimal disruption and effective knowledge transfer.

• Collaborate with IT and business stakeholders to assess the impact of platform changes and ensure alignment with strategic priorities.

• Oversee the delivery of analytics services, ensuring they meet service level agreements (SLAs) and business expectations.

Collaboration and Stakeholder Engagement:

• Act as a key liaison between regional and global teams, ensuring alignment and consistency in analytics solutions.

• Partner with vendors, IT teams, and business stakeholders to deliver high-quality, innovative solutions.

• Provide leadership and mentorship to cross-functional teams, fostering a culture of collaboration and continuous improvement.

Strategic Roadmap Development:

• Collaborate in the maintenance of a consistent roadmap for analytics platforms and services, focusing on innovation, scalability, and cost-efficiency.

• Identify opportunities to integrate advanced analytics techniques, such as machine learning and predictive modeling, into supply chain processes.

• Continuously evaluate and incorporate emerging technologies to enhance the analytics ecosystem.

What are we looking for?

• Technical Expertise:

  • Strong understanding of Azure environment and Azure applications

  • Working knowledge of CI/CD pipelines and DevOps practices

  • Proficiency in Python and SQL

  • Experience with Power BI for reporting and visualization

  • Solid understanding of data engineering processes and best practices

• Leadership and Coordination:

  • Proven ability to lead cross-functional teams and manage vendor relationships in a global environment.

  • Experience in cost reduction initiatives and financial management of Data and Analytics services.

  • Ability to implement governance frameworks that ensure quality, compliance, and efficiency.

• Supply Chain Knowledge:

  • Familiarity with supply chain planning and analytics processes, preferably in industries such as FMCG.

  • Knowledge of supply chain planning tools like Blue Yonder, Kinaxis, or OMP is a plus.

• Soft Skills:

  • Strong problem-solving and decision-making capabilities.

  • Excellent communication skills, with the ability to articulate technical concepts to business stakeholders.

What can you expect from Mars?

• Work with over 140,000 diverse and talented Associates, all guided by the Five Principles.

• Join a purpose-driven company, striving to build a better tomorrow, today.

• Access to best-in-class learning and development support from day one, including our in-house Mars University.

• An industry-competitive salary and benefits package, including a company bonus.

Skills:

Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), Databricks, Power BI, React, Angular, Vue.js, Tableau, Data Governance, Metadata Management, Data Pipeline Development, SQL, Python, Spark, Data Asset Lifecycle Management, Cost Management, Lead Optimization, Cost Reduction, Pull Request Governance, Dashboard Design, Transition Planning, Stakeholder Management

Competencies:

Business Insight, Collaboration, Decision Quality, Innovation, Accountability, Complexity Management, Tech Savviness, Work Process Optimization

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