Job Purpose:
The Singapore Food Agency ensures and secures a supply of safe food for Singapore.
The Digital Office (DGO) under the Science and Technology Division (S&T) designs, builds, and refreshes our digital capabilities and systems to enable effective, efficient, and resilient organisation processes. Through our work, we build up SFA’s capability to support the development of a new food safety ecosystem that is nimble, comprehensive and which encompasses every food-related transaction across the value chain, where all players along food supply chain take ownership to ensure food is safe for consumers.
The candidate will lead the Data Governance and Transformation Department (DGT) under DGO, reporting to the Chief Data Officer. They will catalyse SFA’s transformation into a digital-to-the-core organisation that leverages data for shaping policy, planning and operations. The core responsibilities are to (1) oversee our data governance policies, (2) ensure the smooth functioning and operability of our data systems, (3) drive data research, and (4) build data analytics capabilities throughout SFA to support SFA’s data research needs. Through the work, they will play an important role to accelerate SFA’s efforts to further transform into a digitally enabled organisation.
Areas of work:
• Plan, implement and review SFA’s data governance framework to strengthen the management of SFA’s data across its life cycle to ensure relevancy and currency, aligned with IM8 guidelines and SFA’s requirements.
• Oversee and manage key data systems/projects throughout the system/project lifecycle – conceptualisation, gathering of user requirements, development of enterprise capabilities, and ensuring their smooth functioning and operability (e.g. Enterprise Data Lake).
• Catalyse, facilitate and track SFA’s transformation initiatives such as roll-out of Robotic Process Automation (RPA) and meeting of key data KPIs.
• Advise partner technical teams on data system and governance requirements (e.g. data availability within data lake, data management, storage and retention).
• Lead team of data analysts to conceptualise and operationalise data and research initiatives and cross-divisional data projects to derive and triangulate datasets from various sources to distil useful insights to address SFA’s key challenges (both policy and operational perspectives). This includes ensuring data is harmonised, clean and ready for data discovery needed for data-driven decisions.
• Support and advise Divisions in the generation of timely data research insights that could be used for policymaking, corporate planning, risk management, streamlining operations and/or shaping industry plans.
• Build and upskill the capabilities of data analysts/engineers within SFA (both within team and across divisions).
Requirements:
• Possess more than 12 years of experience in strategy, planning and/or transformation, with at least 5 years in a supervisory position preferably in the public sector.
• Experience in conducting a full spectrum of data analytical work from data collation, sampling, analysis to reporting.
• Experience in using data/statistical modelling tools (e.g. Python, R, SAS, SPSS) and visualisation technologies (e.g. PowerBI, Tableau, and Qlikview).
• Strong track record in stakeholder management especially in influencing and achieving alignment with diverse groups of stakeholders.
• Nurturing leader with ability to manage, and work with ambiguity.
• Excellent written and presentation skills required.
• Relevant qualifications and/or certifications.
Work Location:
SFA HQ at JEM
We regret to inform that only shortlisted candidates will be contacted for interview within 4 weeks of the closing date of this job posting.
The Singapore Food Agency ensures and secures a supply of safe food for Singapore.
The Digital Office (DGO) under the Science and Technology Division (S&T) designs, builds, and refreshes our digital capabilities and systems to enable effective, efficient, and resilient organisation processes. Through our work, we build up SFA’s capability to support the development of a new food safety ecosystem that is nimble, comprehensive and which encompasses every food-related transaction across the value chain, where all players along food supply chain take ownership to ensure food is safe for consumers.
The candidate will lead the Data Governance and Transformation Department (DGT) under DGO, reporting to the Chief Data Officer. They will catalyse SFA’s transformation into a digital-to-the-core organisation that leverages data for shaping policy, planning and operations. The core responsibilities are to (1) oversee our data governance policies, (2) ensure the smooth functioning and operability of our data systems, (3) drive data research, and (4) build data analytics capabilities throughout SFA to support SFA’s data research needs. Through the work, they will play an important role to accelerate SFA’s efforts to further transform into a digitally enabled organisation.
Areas of work:
• Plan, implement and review SFA’s data governance framework to strengthen the management of SFA’s data across its life cycle to ensure relevancy and currency, aligned with IM8 guidelines and SFA’s requirements.
• Oversee and manage key data systems/projects throughout the system/project lifecycle – conceptualisation, gathering of user requirements, development of enterprise capabilities, and ensuring their smooth functioning and operability (e.g. Enterprise Data Lake).
• Catalyse, facilitate and track SFA’s transformation initiatives such as roll-out of Robotic Process Automation (RPA) and meeting of key data KPIs.
• Advise partner technical teams on data system and governance requirements (e.g. data availability within data lake, data management, storage and retention).
• Lead team of data analysts to conceptualise and operationalise data and research initiatives and cross-divisional data projects to derive and triangulate datasets from various sources to distil useful insights to address SFA’s key challenges (both policy and operational perspectives). This includes ensuring data is harmonised, clean and ready for data discovery needed for data-driven decisions.
• Support and advise Divisions in the generation of timely data research insights that could be used for policymaking, corporate planning, risk management, streamlining operations and/or shaping industry plans.
• Build and upskill the capabilities of data analysts/engineers within SFA (both within team and across divisions).
Requirements:
• Possess more than 12 years of experience in strategy, planning and/or transformation, with at least 5 years in a supervisory position preferably in the public sector.
• Experience in conducting a full spectrum of data analytical work from data collation, sampling, analysis to reporting.
• Experience in using data/statistical modelling tools (e.g. Python, R, SAS, SPSS) and visualisation technologies (e.g. PowerBI, Tableau, and Qlikview).
• Strong track record in stakeholder management especially in influencing and achieving alignment with diverse groups of stakeholders.
• Nurturing leader with ability to manage, and work with ambiguity.
• Excellent written and presentation skills required.
• Relevant qualifications and/or certifications.
Work Location:
SFA HQ at JEM
We regret to inform that only shortlisted candidates will be contacted for interview within 4 weeks of the closing date of this job posting.