Manager Information Management

Job Title: Manager Information Management

Purpose of the role  

Business Consulting job family is structured to address end-to-end business needs. Members of this Job Family are differentiated by their capability of providing the required consultation & work with end-business by way of assessing the requirements, identifying the right analytical solution that can solve for the business problem, and developing the same for execution – often covering areas of business growth, improving customer experience, limiting risk exposure, enhancing internal business processes etc. They are required to, as necessary, embed agile & exploratory practices into their approach as needed, and retain the flexibility to change track to adopt other solutions based on changed scenarios, to deliver on effective results. This talent group can be tapped into for providing solutions for varying areas including improving existing processes, technology, and approaches by embedding exploratory & analytics & taking it forward with a consulting mind set.

In this role, you will:

• Demonstrate excellent analytical ability with conceptual understanding of how Workload Distribution, Productivity, Capacity Planning, SLA work and operation cost in tandem for efficiency. Prepare workforce and capacity summary for management reviews.
• Act as an SME/consultant on analytical solutioning for the business problem at hand for multiple businesses/regions. Data management and governance using state-of-the-art methods.
• Create new tools and methodologies and develop recommendations to solve complex analytical problems using various techniques including ML and AI. Develop forecasting models and framework to improve forecast accuracy by incorporating historical trends, new drivers and ongoing enhancement to models 
• Partner with the business effectively to drive data driven decisions and generate value. Communicate proactively to regional and country stakeholders on issues related to variances, workload or capacity and suggest through remediation action.
• Deliver monthly Governance pack and insights on all KPI and reporting suite. Take direction from line manager in right scoping of projects or adhocs and set right expectation on requirement to avoid conflicts.
• Can link to the 'bigger picture' and be able to understand the impact of various strategies, policies and events and ability to provide recommendation and guiding team.
• Build good understanding of business domain, functional goals, and the required technical expertise. Establish quality standards in terms of timeliness of the projects and accuracy of the deliverables.
• Ensure adherence with all the applicable compliance policies (Data security policy, AML, operational risk, Functional manual, Group Compliance Manual, Audit recommendations, Internal Control requirements, regulatory guidelines etc.) and business standards of Organization as applicable. Take timely action on Audit comments and be able to demonstrate compliance with Internal controls

To be successful you will:

• Strong understanding of data management principles, data governance, and data quality best practices. Proven ability to work with large, complex datasets from various sources. Experience in data extraction, transformation, and loading (ETL) processes.

• Strong programming skills in at least two of the following: SAS, Python, R, SQL, Alteryx, Java - Spring Boot, ReactJS, Tableau, Qlik, Looker, Power BI, or similar platforms (Specific to the role). Hands-on experience with cloud platforms (e.g., Google Cloud Platform (GCP), AWS, Azure) and/or big data ecosystems (e.g., Hadoop). Proficiency with GCP tools like DataProc, BigQuery or similar technologies on other platforms.

• Experience with distributed computing frameworks such as Spark and Hive SQL (Good to have). Exposure to best coding practices and optimization techniques. Ability to support and lead governance (strategy and policy) across various analytical initiatives.

• Experience in spearheading new initiatives in Operations Analytics that drive business value and improve operational efficiency. Performance Monitoring: Experience in developing and validating analytical models for performance monitoring and risk assessment. Visualization & Dashboards: Prior experience with data visualization and dashboarding tools like Tableau, Qlik, Looker, Power BI, or similar platforms.
• Problem-Solving: Demonstrated capability to solve unstructured business problems using a data-driven approach and design thinking principles. Proficiency in statistical analysis concepts and their practical application.

• Solid understanding of statistical modelling techniques and their application in an operational context (must have) .Experience with Gen AI and machine learning models for classification, regression, and clustering (e.g., Decision Trees, Random Forests, k-NN, Naive Bayes, Gradient Boosting, Artificial Neural Networks).

• Understanding and integration of Generative AI concepts, large language models (LLMs), and their potential applications in areas within operational analytics. Strong programming skills in Java - Spring Boot, ReactJS or similar platforms. At least 1-7 years of relevant hands-on experience in Data Analytics / Operation analytics/ Work-force management/ Capacity Planning / Statistical Modelling & Machine Learning / Visualization & Dashboarding .

• Familiarity with financial services and banking operations is good to have.Graduate/Postgraduate degree/ BE / B.Tech in quantitative disciplines (e.g., Statistics, Economics, Engineering, Mathematics, Operations Research). SmartOps/Business Insights Role - Graduate / Postgraduate in computer science related field, information systems or other engineering specializations or equivalent.

You’ll achieve more at HSBC 

hsbc.com/careers

HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.”

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***Issued By HSBC Electronic Data Processing (India) Private LTD***