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Data/Information Mgt Sr Mgr - C13 - BANGALORE

Citigroup21h ago
Bangalore Karnataka IndiaOnsiteFull-timeSenior Level15+ yrs exp

Top focus

Vp DataData AnalystData ScientistData EngineerData Consultant

The Data/Information Mgt Sr Mgr accomplishes results through the management of professional team(s) and department(s). Integrates subject matter and industry expertise within a defined area. Contributes to standards around which others will operate.

Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function. Requires basic commercial awareness. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers.

Has responsibility for volume, quality, timeliness and delivery of end results of an area. May have responsibility for planning, budgeting and policy formulation within area of expertise. Involved in short-term planning resource planning. Full management responsibility of a team, which may include management of people, budget and planning, to include duties such as performance evaluation, compensation, hiring, disciplinary and terminations and may include budget approval

Responsibilities

This function covers incumbents responsible for various data activities, which include database administration, data analysis, maintenance, data quality, and database management or database architecture / design engineering Day-to-day focus is on resolution of complex problems or transactions, where expertise is required to interpret against policies, guidelines or processes Role at this level usually has full ownership for one or more processes, reports, procedures or products, and may also be considered analytical or procedural experts representing a unit or team on cross-function process or project deliverables May supervise day-to-day work of junior level employees Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards

Qualifications

  • 6-10 years of experience Experience developing and implementing analytical strategies Knowledge of consumer financial services regulatory environment required Track record of analytics innovation, data science
  • new solution development Experience developing and implementing analytical strategies in the financial services industry In-depth understanding of the various financial service business models Expert knowledge of advanced statistical techniques Education: Bachelors/University degree, Master’s degree preferred This job description provides a high-level review of the types of work performed.
  • Other job-related duties may be assigned as required.
  • C13 (VP, Pillar head) The Data/Information Management, Senior Manager (Vice President) accomplishes strategic outcomes through the management of professional team(s) and department(s).
  • He/She embeds deep subject matter and Banking industry expertise within Operations' Business Intelligence (BI) coupled with AI-led decision intelligence.
  • The VP, Pillar head owns strategic client relationships and value delivery for Operations BI engagements — translating business outcomes into analytics, BI
  • AI solutions that improve cost, control, CX
  • decision-making across Citi’s Personal Banking Operational functions.
  • Requires in-depth understanding of how operational functions collectively integrate and contribute to the objectives of Citi.
  • Commercial awareness is an added advantage.
  • Proficient exec-level communication, change management and diplomacy skills are 'must-haves' in this role to guide, influence and convince key business partners / stakeholders.
  • The candidate will have responsibility for volume, quality, timeliness and delivery of end results of an area.
  • Full management responsibility of a team lies with him/her, too
  • may include management of people, budget and planning, to include duties such as performance evaluation, compensation, hiring, disciplinary and terminations and may include budget approvals as well

Responsibilities

The incumbent is responsible for overseeing the Operations' BI life cycle and embed AI-led intelligence across various data activities, which include database administration, data analysis, maintenance, data quality, and database management or database architecture / design engineering, leading into intelligent visualization & insights generation Functional Clients’ relationships and shaping of Operations BI vision aligned to client priorities Day-to-day focus: co-creation of end-to-end BI solutions across: Data ingestion & quality Semantic layers Dashboards & insights Advanced analytics / GenAI overlays Provide executive oversight across BI delivery programs / outputs Supervision of day-to-day work of junior employees Lead cross-functional teams: BI, data engineering, AI, domain SMEs Coach analysts, developers to embrace Operations’ business outcomes Influence and collaborate with tech, platform groups for accelerated roadmaps Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards

Qualifications

  • 15 years of experience Knowledge of the Customer Service / Credit, Collections & Recovery functions and overarching understanding of Consumer Financial Services regulatory environment Track record of developing analytics / data science-led innovative, intelligent solutions Experience in developing, managing
  • implementing big-ticket analytical projects in the banking / financial services domain Experience developing and implementing AI-led analytical strategies in banking / financial services domain Expert knowledge of advanced statistical techniques & AI tools Education: Bachelors (BTech) / University degree, Masters’ degree preferred This job description provides a high-level review of the types of work performed.
  • Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Data/Information Management ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer
  • qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran
  • any other characteristic protected by law.
  • If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi .
  • View Citi’s EEO Policy Statement and the Know Your Rights poster.

Required skills

data analysisdatabase administrationdata qualitydatabase managementdata architectureAIbusiness intelligenceanalyticsstatistical techniques
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