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Job Overview
The Data/Information Mgt Grp Mgr is accountable for management of complex/critical/large professional disciplinary areas. Leads and directs a team of professionals. Requires a comprehensive understanding of multiple areas within a function and how they interact in order to achieve the objectives of the function. Applies in-depth understanding of the business impact of technical contributions. Excellent commercial awareness is a necessity. Generally accountable for delivery of a full range of services to one or more businesses/ geographic regions. Excellent communication skills required in order to negotiate internally, often at a senior level. Some external communication may be necessary. Accountable for the end results of an area. Exercises control over resources, policy formulation and planning. Primarily affects a sub-function. Involved in short- to medium-term planning of actions and resources for own area. Full management responsibility of a team or multiple teams, including management of people, budget and planning, to include performance evaluation, compensation, hiring, disciplinary actions and terminations and budget approval.
What do we offer?
AIM Wealth Data team would manage the implementation of best-in-class data quality measurement programs across globe. The critical areas we support:
- Regulatory Support: Creation and execution of business data quality measurements as per regulatory programs like CCAR, AML etc
- Metrics Design: Identification of critical data elements in different systems, data quality rules design, Testing and validation of rules.
- Data Governance: Standardization of data definitions and ensuring consistency in measurement as per definitions across systems/products/regions. Adapting of data governance tools and data management policy implementation
- DQ Score cards: Publishing monthly/quarterly score cards at country level and preparing executive summary reports for senior management.
- Audit Support: Identifying cases on control gaps, policy breaches and providing data evidence for audit completion.
Key Deliverables:
- Work closely with Business Stakeholders to set the priorities for the team, convert those goals into actionable with a clearly defined delivery plan and outcomes.
- Expand the team into a robust multi-site model (Bangalore and Chennai) with a thorough Continuity of Business (CoB) in place
- Expand scope of Data Quality as a discipline. Partner with other AIM teams to expand scope of CDE measurement and increase usage of data quality certified CDE in critical processes
- Lead usage of Gen AI/automation in various processes (lineage/ data quality/ exception management) with strong focus on reducing manual time
- Partner with Technology in evaluating Enterprise tools and building AI solutions
- Ensure adherence to strict Project Management discipline through periodic reviews
- Review all data assets to identify Critical Data Elements (CDEs) and socialize these with the wider organization. Implement controls, identify Trusted Sources, provide monitoring and build/review scorecards. Monitor key data management and governance metrics to ensure the accuracy and completeness of the critical data within their domain(s).
- Document data/system lineage and data tracing through all “hops” for each business process and coordinate with Technology to create corresponding Lineage toolset. Manage technical metadata requirements and inputs related to Business CDEs and coordinate Lineage tasks and test activities between Business, Operations and Technology. Manage all Business Glossaries
- Timely resource hiring and onboarding
Qualifications and Competencies
- MBA / Masters Degree in Information Technology / Computer Applications / Engineering from a premier institute. BTech / B.E in Information Technology / Information Systems / Computer Applications
- (Preferred) Post Graduate in – Computer Science, Mathematics, Operations Research, Econometrics, Management Science and related fields
- 15+ years’ experience in areas of financial services technology, data governance & delivery management
- Experience in Credit Cards/Retail/ Wealth domains
- 8+ years of experience in formal Data Governance within a global company; Strong data management background who understands data, data architecture, how to ingest data, process data, consume data, data quality, and stewardship.
- 8+ years of experience working in data management with Code mining, Data Mining, Visual data Lineage, System to system Lineage as Information Steward.
- 3+ years of experience leading/managing a large data team.
- Proven expertise in leading Gen AI/automation projects with measurable impact
- Basic understanding of AI, machine learning, and natural language processing (NLP) concept and technologies.
- Extremely proficient in SQL queries, data analysis and profiling, data quality monitoring rules and data quality issues resolution. Experience in using a Data Visualization tool like Tableau a strong plus.
- Must have excellent analytical and business skills
- Strong knowledge and understanding of master data elements and processes per the necessary in-scope data domains, specifically Finance and Risk
- Demonstrate a high level of motivation, strong work ethic and self-starting attitude with a bias for speed and execution
- Demonstrate ability to lead and multi-task, problem-solve, make decisions and operate in a fast-paced environment.
- Must be a collaborative person who listens effectively and invites response and discussion. Must possess good negotiation skills. Excellent organization skills and attention to detail
- Must be able to exercise independent thinking and good judgment under all circumstances. Demonstrate versatility and a willingness to work with constantly changing priorities with enthusiasm.
- Strong Communication Skills/Able to Persuade/Influence Others at all Organization Levels and the ability to foster lasting partnerships.
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Job Family Group:
Decision Management
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Job Family:
Data/Information Management
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Time Type:
Full time
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Most Relevant Skills
Please see the requirements listed above.
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Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
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