Specialized Analytics Senior Group Manager
- Citibank
- 10 to 15 Yrs
- Bengaluru
- 6 years ago
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Job Description
- Be a key member of the Global Consumer Banking - Global Analytics & Information Management (GAIM) senior leadership team and play a role in defining strategic direction of the group. Be accountable for the success of the entire group in addition to one s direct area of responsibility. Make talent management an everyday priority; Champion talent management across GAIM. Continually use networking skills to leverage all parts of Citi businesses to enhance the working environment within your group and across GAIM. Communicate with peers to maintain full understanding of entire group. Responsible for analytics service delivery and thought leadership. Ability to successfully manage relationship with senior leaders in the Global Consumer Banking and Analytics Organization
Core Responsibilities:
- The role s purpose is to be an innovative leader managing a data team in a large scale environment who architects the deployment of new generation analytic tools and techniques by using traditional and new sources of data, particularly in the Next Gen and Digital space
- Deployment of digital analytics required
- Responsible for leading an analytics organization in a large scale environment who architects the deployment of new generation analytic tools and techniques
- Lead 3 Large teams, manage a direct team comprising of a Director, SVPs and VPs and manage a total Headcount of close to 150 Niche Skilled Analytics resources-
- Team 1- Digital, Ops Analytics and TTS
- Team 2- Next Gen, Sales Practice, Special Projects and New Businesses
- Team 3- Risk Analytics
- The role holder would also lead the Skill Learning Capability team from the organization
- Impact The role has an impact on indices like NPS, driving of Forward Compatible initiatives
- Customer & Revenue Impact- The role has an indirect impact on 120- 150 MM Customer and USD 200-250 MM Revenue Opportunity.
Other Responsibilities:
- Use analytics as a source of competitive differentiation, improving business decision making, and customer experience
- Use a variety of legacy and emerging analytic techniques incorporating supervised and unsupervised machine-learning methods to be deployed in business decisions (Marketing, Risk, Fraud, Pricing, and Operations)
- Work closely with clients from the organization to turn data into critical information and knowledge that can be used to solve key use cases
- Act as a creative thinker to the organization and propose new ways to look at problems by using data and available information (e.g. with predictive modeling, machine learning, etc.) presenting back their findings to the business by sharing their assumptions and validation work in a pragmatic/simple ways that can be easily understood by their business non-analytics counterparts
- Hire, nurture, and grow talent within the data team
- Oversee a team that builds, tests, and analyzes data models, artificial intelligence, and machine learning tools, to enhance user experience, customer service, and product innovation
Governance and Controls:
- Ensuring compliance with product/country specific regulatory requirements pertaining to outsourcing and data security
- Align info sec policies and control practices in alignment to country and global requirements
Regulatory responsibilities:
- Interacts with Model Risk Management, regional and local Business Information Security Office and Internal Audit Teams to ensure compliance across all modeling activities in terms of Model Reviews etc.
- Adherence to Country/Product controls/data governance based on country and regional regulations Cross border data agreements, PLSD etc.
Personal Skills:
- Excellent written and communication skills to report back finding in a structured, clear, simple way
- Experience in leading analytics organizations ideally in Consumer Finance/Banking
- This person should be an innovative leader and not maintainer of status quo
- Passionate about analytics as a source of competitive differentiation, improving business decision making, and customer experience
- Energized by asking what if , why not , and what would happen to us if questions; e.g. how will this will affect the business, industry, or market
- Able to connect seemingly unrelated questions, problems, or ideas from different industries or fields to deliberately assemble new perspectives or realign those of others and the organization
- Ability to manage analytic/technical professionals successfully and communicate analytic results to non-technical partners
- Able to be independent and a self-starter, comfortable in a fast-paced matrixed environment
- Strong execution skills and results oriented approach
- Act with curiosity and takes the initiative to identify problems, offer creative solutions and resolve issues
Knowledge/Experience/Technical Sills:
- Education: Requires quantitative undergraduate degree with Masters in Business or Doctorate degree
- 10- 15 years of experience in relevant quantitative and qualitative research and analytics.
- Should be familiar with a variety of legacy and emerging analytic techniques incorporating supervised and unsupervised machine-learning methods
- Strong business acumen and analytic ability with capability of identifying business trends and opportunities and problem solving skills
- Demonstrated growth in leading analytics organization ideally in Consumer Finance and Banking, but would consider candidates from Insurance/Healthcare/e-Commerce
- Familiar with regulatory standards for model development deployment
- Excellent understanding and mastery of regulated customer data from the credit bureaus, rent utility and telecom data, as well as other unstructured internal and external data used in decision-making
- Demonstrated responsibilities in hiring, nurturing, developing talent for use and growth of data teams; evidence should be the person currently managing data teams in large scale environment
- Ability to come up with solutions to loosely defined business problems and identify unseen opportunities by leveraging data over potentially large datasets
Employement Category:
Employement Type: Full timeIndustry: Banking / Financial ServicesRole Category: General / Operations ManagementFunctional Area: Not ApplicableRole/Responsibilies: Specialized Analytics Senior Group ManagerContact Details:
Company Name: Citibank .Location(s): Bengaluru+ View Contact
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