Senior Manager, Data & Analytics
Monroe Consulting Group is collaborating with a prominent regulatory body in the financial services sector, in search for a tech talent. Our client is looking for a Senior Manager, Data & Analytics. This role provides strategic direction, governance, and leadership over data platforms, analytics capabilities, and data talent, while partnering closely with senior business stakeholders to deliver measurable business value through data. Key Responsibilities: Strategy & Leadership Define and own the enterprise data and analytics strategy and roadmap, aligned with corporate objectives and digital transformation priorities. Provide thought leadership on how data, analytics, and AI can be leveraged to solve complex business challenges and unlock new opportunities. Translate corporate and business strategies into scalable data and analytics initiatives with clear business outcomes. Provide inputs and recommendations to shape the organisation's long-term data maturity and capability roadmap. Enterprise Data & Analytics Delivery Monroe Consulting Group is collaborating with a prominent regulatory body in the financial services sector, in search for a tech talent. Our client is looking for a Senior Manager, Data & Analytics. This role provides strategic direction, governance, and leadership over data platforms, analytics capabilities, and data talent, while partnering closely with senior business stakeholders to deliver measurable business value through data. Key Responsibilities: Strategy & Leadership Define and own the enterprise data and analytics strategy and roadmap, aligned with corporate objectives and digital transformation priorities. Provide thought leadership on how data, analytics, and AI can be leveraged to solve complex business challenges and unlock new opportunities. Translate corporate and business strategies into scalable data and analytics initiatives with clear business outcomes. Provide inputs and recommendations to shape the organisation's long-term data maturity and capability roadmap. Enterprise Data & Analytics Delivery Oversee the design, development, and implementation of enterprise-level data platforms, analytics solutions, and advanced analytics use cases. Ensure the successful execution of multiple concurrent analytics initiatives across business units. Guide the development of robust data architectures, data models, pipelines, and analytics frameworks to support current and future needs. Ensure data solutions are scalable, secure, reliable, and aligned with enterprise architecture and governance standards. Stakeholder & Business Partnership Act as a strategic advisor to senior business leaders on data-driven decision-making. Partner closely with business stakeholders to identify high-impact use cases and prioritise analytics initiatives. Facilitate alignment between business, IT, risk, and governance teams to ensure effective delivery and adoption of data solutions. Communicate complex data concepts, insights, and recommendations clearly to executive and non-technical audiences. Data Governance & Standards Work closely with data governance and risk teams to ensure compliance with data policies, quality standards, security, and regulatory requirements. Establish best practices, standards, and operating models for data engineering, analytics, and reporting. Drive a strong culture of data quality, accountability, and ethical data usage across the organisation. People & Capability Development Lead, mentor, and develop a high-performing team of data engineers, analysts, and analytics professionals. Set clear performance expectations, career pathways, and capability development plans for the data team. Foster a collaborative, innovative, and learning-driven data culture. Build internal data literacy and analytics capability across the organisation. Technology & Innovation Provide direction on the selection, adoption, and optimisation of data platforms and analytics tools (e.g. Microsoft Fabric, Power BI, cloud-based data platforms). Stay abreast of emerging trends in data engineering, analytics, AI, and cloud technologies, and assess their relevance to the organisation. Champion continuous improvement and innovation in data and analytics practices. Job Requirements: Education & Certifications Bachelor's degree in Data Science, Computer Science, Software Engineering, Information Systems, or a related field. Master's degree in a relevant discipline is an advantage. Certifications in cloud-based data platforms, data engineering, analytics, or data governance are highly desirable. Experience Minimum 10-15 years of experience in data engineering, data analytics, or data platform implementation roles. Proven experience leading enterprise-scale data and analytics programmes. Strong track record of partnering with senior stakeholders and delivering data-driven business outcomes. Experience in people management and building high-performing data teams. Technical & Functional Skills Deep expertise in enterprise data architecture, data modelling, ETL/ELT pipelines, and analytics solution design. Strong understanding of statistical analysis, business intelligence, and advanced analytics concepts. Hands-on or oversight experience with Microsoft Fabric or similar modern data platforms. Proficiency in Power BI, SQL, Python, and/or R; experience with notebooks such as Jupyter or R Studio is an advantage. Strong understanding of data governance, data quality, and security principles. Leadership & Soft Skills Strategic thinker with strong analytical and problem-solving capabilities. Excellent stakeholder engagement, facilitation, and influencing skills at senior leadership level. Strong communication skills with the ability to translate complex data insights into actionable business recommendations. High organisational commitment, proactive mindset, and ability to lead through change. Collaborative leader with a strong people-first and delivery-focused approach. Oversee the design, development, and implementation of enterprise-level data platforms, analytics solutions, and advanced analytics use cases. Ensure the successful execution of multiple concurrent analytics initiatives across business units. Guide the development of robust data architectures, data models, pipelines, and analytics frameworks to support current and future needs. Ensure data solutions are scalable, secure, reliable, and aligned with enterprise architecture and governance standards. Stakeholder & Business Partnership Act as a strategic advisor to senior business leaders on data-driven decision-making. Partner closely with business stakeholders to identify high-impact use cases and prioritise analytics initiatives. Facilitate alignment between business, IT, risk, and governance teams to ensure effective delivery and adoption of data solutions. Communicate complex data concepts, insights, and recommendations clearly to executive and non-technical audiences. Data Governance & Standards Work closely with data governance and risk teams to ensure compliance with data policies, quality standards, security, and regulatory requirements. Establish best practices, standards, and operating models for data engineering, analytics, and reporting. Drive a strong culture of data quality, accountability, and ethical data usage across the organisation. People & Capability Development Lead, mentor, and develop a high-performing team of data engineers, analysts, and analytics professionals. Set clear performance expectations, career pathways, and capability development plans for the data team. Foster a collaborative, innovative, and learning-driven data culture. Build internal data literacy and analytics capability across the organisation. Technology & Innovation Provide direction on the selection, adoption, and optimisation of data platforms and analytics tools (e.g. Microsoft Fabric, Power BI, cloud-based data platforms). Stay abreast of emerging trends in data engineering, analytics, AI, and cloud technologies, and assess their relevance to the organisation. Champion continuous improvement and innovation in data and analytics practices. Job Requirements: Education & Certifications Bachelor's degree in Data Science, Computer Science, Software Engineering, Information Systems, or a related field. Master's degree in a relevant discipline is an advantage. Certifications in cloud-based data platforms, data engineering, analytics, or data governance are highly desirable. Experience Minimum 10-15 years of experience in data engineering, data analytics, or data platform implementation roles. Proven experience leading enterprise-scale data and analytics programmes. Strong track record of partnering with senior stakeholders and delivering data-driven business outcomes. Experience in people management and building high-performing data teams. Technical & Functional Skills Deep expertise in enterprise data architecture, data modelling, ETL/ELT pipelines, and analytics solution design. Strong understanding of statistical analysis, business intelligence, and advanced analytics concepts. Hands-on or oversight experience with Microsoft Fabric or similar modern data platforms. Proficiency in Power BI, SQL, Python, and/or R; experience with notebooks such as Jupyter or R Studio is an advantage. Strong understanding of data governance, data quality, and security principles. Leadership & Soft Skills Strategic thinker with strong analytical and problem-solving capabilities. Excellent stakeholder engagement, facilitation, and influencing skills at senior leadership level. Strong communication skills with the ability to translate complex data insights into actionable business recommendations. High organisational commitment, proactive mindset, and ability to lead through change. Collaborative leader with a strong people-first and delivery-focused approach.
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Malaysia
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Permanent
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Negotiable
