Job Description: 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)