Job Description:

Job Responsibilities:

Strategic & Leadership Accountabilities

• Data Strategy Development:
  • Help design and implement D&A strategy aligned with our goals.
  • Identify and prioritizing key areas of data-driven improvement.
• Leadership & Team Building:
  • Mentoring and developing team members where required.
  • Fostering a data-driven culture within our org.
• Stakeholder Management:
  • Collaborating with our FE/FAs and senior managers to understand their needs and provide data-driven solutions.
  • Communicating complex data insights to non-technical audiences.
  • Acting as a trusted advisor on data and analytics matters.

Technical & Operational Accountabilities

• Data Infrastructure & Management:
  • Oversee the design and implementation of data warehousing, data pipelines and data integration processes for our FE Org.
  • Ensuring data quality, accuracy and integrity.
• Reporting & Analytics:
  • Developing and maintaining robust reporting frameworks and dashboards.
  • Conducting in-depth data analysis to identify trends, patterns and insights.
  • Providing actionable recommendations based on data analysis.
  • Support CRD owned capabilities (where handed over to D&A)
  • Manage and lead testing and training of CRD owned projects.
  • Conduct doctor sessions with FE and Segment based stakeholders for analytical capabilities.
  • Lead community of practices with segments to upskill in D&A capabilities.
  • Track adoption and utilization of D&A owned capabilities.
• Automation & Process Improvement:
  • Identify and implementing automation opportunities to improve efficiency and reduce manual effort.
  • Optimizing data processes and workflows.
  • Implementing Mars DT sanctioned Business Intelligence tools.
• Technology & Innovation (Partnering with MGS DT to):
  • Stay abreast of emerging trends and technologies in data & analytics.
  • Evaluate and recommend tools and technologies.
  • Ensure compliance with data security and privacy.

Key Capabilities

Technical

• Data Warehousing and Data Management:
  • Proficiency in data warehousing concepts and technologies.
  • Strong SQL, M Query and DAX skills for data query and manipulation.
  • Understanding of database design and management.
• Business Intelligence (BI) Tools:
  • Expertise and experience in Mars DT sanctioned reporting tools e.g. Power BI for data visualization and reporting.
  • Ability to create interactive dashboards and reports.
• Data Analysis and Statistical Skills:
  • Strong analytical and problem-solving skills.
  • Ability to interpret complex data and identify trends.
  • Familiarity with statistical methods and techniques.
• Automation Technologies:
  • Understanding of automation tools and techniques (e.g. Robotic Process Automation (RPA), scripting).
  • Ability to design and implement automated data processes.
• Data Governance and Quality:
  • Knowledge of data governance principles and practices.
  • Ability to ensure data quality and integrity.
  • Knowledge of Data pipelines, and ETL processes.
• Programming Languages:
  • Proficiency in languages like Python or R, for data manipulation and analysis is very beneficial.

Strategic and Leadership

• Strategic Thinking:
  • Ability to develop and implement data strategies aligned with SPOC and business goals.
  • Ability to identify and prioritize data-driven opportunities.
• Leadership and management:
  • Ability to lead and motivate without direct authority.
  • Strong communication and interpersonal skills.
  • Ability to foster a data-driven culture.
• Stakeholder Management:
  • Ability to communicate complex data insights to non-technical audiences.
  • Ability to build relationships with stakeholders at all levels.
  • Strong presentation skills.
• Problem-Solving:
  • The ability to find solutions to complex data problems.
• Change Management:
  • The ability to drive change within our organization.

Context and Scope:

The role works effectively with various stakeholders and functions in Corporate, Segment Data custodians and in Mars Digital Team to improve our digital R&D products, to enable compliance with our R&D process and ensure user friendliness & efficiency using the R&D systems. There will be some travel required within the region.

SCOPE

This role will work very closely with our team of FE/FAs to drive our D&A, reporting and automation initiatives.

The complete portfolio of R&D digital capabilities is:

• Data & Analytics reporting – Mission control, Spire, Eagle, Horizon Scanning
• Market traceability systems – Atlas MTR, Agnostic
• Inbound traceability & Testing and conformance systems – Atlas, RCLMS
• Specification management systems – Veritas
• Recipe management systems – Ara, RMS
• Core Quality Management systems – Nexus
• Quality Risk management systems – Nexus
• Supplier & Material Quality Management systems – Nexus
• Science & Regulatory Affairs management systems – Claims

Education & Professional Qualifications:

• Minimum bachelor’s degree in IT, engineering, or science discipline.
• Minimum of 5 years’ experience in R&D, R&D systems, data, Supply or DT/Business partnership.
• Experience with R&D or Quality systems required.
• Experience with a data related role preferred.

Knowledge/Experience:

• Good understanding of data process
• Excellent networker, easily builds rapport remotely
• Excellent communication skills (oral and written). Fluent in English
• Understanding and use of Automation technologies preferred (e.g. RPA, Scripting)