Job Responsibilities:

Strategic & Leadership Accountabilities

-  Data Strategy Development:

o    Help design and implement D&A strategy aligned with our goals.

o    Identify and prioritizing key areas of data-driven improvement.

-  Leadership & Team Building:

o    Mentoring and developing team members where required.

o    Fostering a data-driven culture within our org.

-  Stakeholder Management:

o    Collaborating with our FE/FAs and senior managers to understand their needs and provide data-driven solutions.

o    Communicating complex data insights to non-technical audiences.

o    Acting as a trusted advisor on data and analytics matters.

Technical & Operational Accountabilities

Data Infrastructure & Management:

o    Oversee the design and implementation of data warehousing, data pipelines and data integration processes for our FE Org.

o    Ensuring data quality, accuracy and integrity.

Reporting & Analytics:

o    Developing and maintaining robust reporting frameworks and dashboards.

o    Conducting in-depth data analysis to identify trends, patterns and insights.

o    Providing actionable recommendations based on data analysis.

o    Support CRD owned capabilities (where handed over to D&A)

o    Manage and lead testing and training of CRD owned projects.

o    Conduct doctor sessions with FE and Segment based stakeholders for analytical capabilities.

o    Lead community of practices with segments to upskill in D&A capabilities.

o    Track adoption and utilization of D&A owned capabilities.

Automation & Process Improvement:

o    Identify and implementing automation opportunities to improve efficiency and reduce manual effort.

o    Optimizing data processes and workflows.

o    Implementing Mars DT sanctioned Business Intelligence tools.

Technology & Innovation (Partnering with MGS DT to):

o    Stay abreast of emerging trends and technologies in data & analytics.

o     Evaluate and recommend tools and technologies.

o    Ensure compliance with data security and privacy.

Key Capabilities

Technical

Data Warehousing and Data Management:

o   Proficiency in data warehousing concepts and technologies.

o   Strong SQL, M Query and DAX skills for data query and manipulation.

o   Understanding of database design and management.

Business Intelligence (BI) Tools:

o    Expertise and experience in Mars DT sanctioned reporting tools e.g. Power BI for data visualization and reporting.

o   Ability to create interactive dashboards and reports.

Data Analysis and Statistical Skills:

o    Strong analytical and problem-solving skills.

o    Ability to interpret complex data and identify trends.

o    Familiarity with statistical methods and techniques.

Automation Technologies:

o    Understanding of automation tools and techniques (e.g. Robotic Process Automation (RPA), scripting).

o    Ability to design and implement automated data processes.

Data Governance and Quality:

o    Knowledge of data governance principles and practices.

o    Ability to ensure data quality and integrity.

o    Knowledge of Data pipelines, and ETL processes.

Programming Languages:

o    Proficiency in languages like Python or R, for data manipulation and analysis is very beneficial.

Strategic and Leadership

Strategic Thinking:

o    Ability to develop and implement data strategies aligned with SPOC and business goals.

o    Ability to identify and prioritize data-driven opportunities.

Leadership and management:

o    Ability to lead and motivate without direct authority.

o    Strong communication and interpersonal skills.

o    Ability to foster a data-driven culture.

Stakeholder Management:

o    Ability to communicate complex data insights to non-technical audiences.

o    Ability to build relationships with stakeholders at all levels.

o    Strong presentation skills.

Problem-Solving:

o    The ability to find solutions to complex data problems.

Change Management:

o    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)