Senior Manager - Data Analytics

Job Description

Role SummaryThe ideal candidate will lead analytics solutioning, design, build and implementation ofcustom reporting and analytics as per organizational needs. Should be able to understand business needs, translate them to analyticalrequirements, build an appropriate solution suitable for consumption. As part of the data analytics team, this rolewill be the Business/Industry subject matter expert in fields like credit risk/portfolio management and strong instatistical concepts leading advanced analytics in the organization.

• Main Duties & ResponsibilitiesExecution of strategic plans through managing the Data Analytics section, fostering a team-based culture, ensuring positive and collaborative interactions with colleagues and vendors to ensure the highest level ofprofessionalism, efficiency, and productivity in meeting the companys day-to-day requirements.
• Lead and develop a team of data analytics professionals.
• Develop processes for effective data analysis and reporting.
• Support business development function by extracting data to support their sales activities.
• Prepare and manage all automated management dashboards using company provided tools such as PowerBI,
• SAS, R, Python etc along-with delivering various projects on scorecard development and ad-hoc analytics.
• Manage vendor analytics capacity and align output with organizational roadmap and business priorities.
• Ensure vendors deliver as per SLA and agreements.
• Develop Proof of Concepts for various clients and industries and prioritize in line with business objectives.
• Manage all internal relationship relating to data analytics.
• Lead the development/ implementation of new scores and indicators as per the companys Strategic Roadmap.
• Liaise with internal stake holders to gather market needs and requirements, ultimately identifying new product development opportunities and generating new revenue streams.
• Liaise with Business Development to approach new industries such as real estate, utilities, insurance toidentify potential value that the company can bring through existing or new products and services.
• Lead review sessions with Central Bank upon development /re-development of credit scores to ensurealignment with regulatory guidelines and implementation of feedback /recommendations.
• Liaise with IT Operations to ensure Bl underlying data infrastructure constantly enables data analyticsoperations and is continuously improved to adopt new technologies and increase performance.
• Develop, maintain, and continuously improve Analytical Reports, part of the companys product suite, in order toaddress growing subscribers, need and ultimately increase related revenue streams.
• Act as a Project Manager of key initiatives related to implementation of new products and solutions and newlyimplemented analytical models, including vendor /stakeholders? management, project timeline /milestonesmanagement, risk /issue management, weekly report, and steering committee preparation in liaison withPMO.
• Manage data analytics vendors /consultants in appointed in the evolutionary maintenance and newdevelopment and implementation initiatives.
• Coordinate with IT section heads and vendor managers to ensure relevant analytics solutions and services arepromptly planned for and requested in line with PMO Office planning.
• Assessment and design of business controls in line with corporate risk assessments to ensure compliance withlaws, regulations, and policies, maintain confidentiality and minimize impact and likelihood of risks on theorganization.
• Prepare progress packs and materials for Stakeholders, Management, Internal Committees and Boardmeeting preparations.
• Analyse analytical models developed by vendors and test performance of new or upgraded products
• Adhere to corporate-approved Data Analytics KPIs.
• Lead the monitoring, validation, and re-development/ re-calibration of all existing credit bureau scores andindicators.
• Develop annual budgetary requirements for data analytics and monitor section performance against definedtargets.
• Assist with reports and data extraction when needed and in accordance with data governance policies.
• Set clear project, department, and individual objectives for all section team members with clear segregationof duties and role assignments to ensure data management responsibilities are always on target and enabledfor future improvements.
• Monitor team performance quarterly to ensure all objectives and assignments are fulfilled with satisfaction.
• Comply with comprehensive enterprise information security review program to ensure the integrity,confidentiality and availability of relevant data is in line with applicable laws and regulations, company policiesand information security and data governance frameworks.

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