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The Director, Data Analytics & Innovation role at Citi involves managing a team of analysts and data scientists, driving analytics transformation, creating innovative solutions, improving business outcomes through data-driven insights, and fostering a collaborative, agile team environment. Responsibilities also include attracting and developing talent, managing budgets, influencing senior executives, and aligning with global/regional analytics teams.
Job Responsibility:
Understand key drivers of business results and how data and analytics can help accelerate outcomes
drive theory to execution with business partners to directly impact results
be a champion of customer analytics, understanding millions of customers in multiple geographies in each of several lines of business while taking a customer-centric view versus a geographic or product-line view
'connect the dots' across several lines to leverage insights in one area that may apply to another
direct the processing of large datasets using a wide variety of analytical and data science techniques to uncover insights and produce recommendations and opportunities for operationalizing analytical processes with appropriate technical foresight
create an analytical roadmap and agenda, with appropriate prioritization
track progress
measure results
use the analytics vendor landscape to make build vs. buy recommendations/decisions
work as a thought partner with lines of business, influencing outcomes often without direct control
align thinking with and leverage other regional analytics teams (e.g., Asia South/NAM/Global)
leverage both design and customer research teams to further enhance and inform analytical experiences
manage a large, culturally, and skill set-wise diverse data and analytics team across geographic locations
manage within budget
attract world-class talent to be part of Citi Wealth DAI
upskill and retain talent through implementation of training or rotation programs
define clear career paths and criteria for success
create and use bespoke but consistent recruiting and employee assessments
drive agile and collaborative team-working processes throughout the data organization
monitor progress against activities and actively 'connect the dots' across teams where appropriate
help streamline engagement model to help embed a data-inspired decisioning culture across Citi Wealth Asia North business
assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets by driving compliance with applicable laws, rules, and regulations, and applying sound ethical judgment regarding personal behavior, conduct, and business practices
experienced with analysis of large, consumer datasets consisting of both structured and unstructured data, both transactional and behavioral data
thought leader on customer analytics – understanding individual customer behavior patterns in acquisition, engagement, retention using individual propensity models, segmentation approaches, etc
ideally, knowledge of a wealth business across all product lines and associated business acumen – or at minimum, background in any large-scale consumer-oriented firm
ability to create a vision of what 'good' looks like to capture value using data and analytics (people, process, technology) and to deliver a competitive edge
knowledge of and would have used variety of analytical techniques to build impactful data products or tactical solutions involving visualization, optimization and/or predictive analytics
demonstrated significant large-scale business impact through data and analytics
able to not only set vision and direction for the team but also demonstrate large-scale incremental business impact through analytics initiatives
experience managing large, often geographically spread, analytics and data science teams
understands technical platforms and is fully aware of how to create and drive scalable solutions
experienced leveraging 2nd party and 3rd party data to enhance our analytical understanding of our customers
is versed in data platforms, campaign execution tools
understands what can scale and what cannot
directing data engineering teams particularly helpful
uses Confluence, JIRA, and other agile team process tools to accelerate team outcomes
must possess and demonstrate a 'commercial mindset'
understands how to integrate customer research/insights with analytical findings
self-motivated and accountable – demonstrated ability to follow through to execution
project management – ability to lead cross functional teams towards a common vision
organized – can juggle multiple, potentially competing priorities with aplomb
detail oriented – obsessed about quality
superior communication – able to clearly articulate complex strategies/techniques and ideas, in both oral and written form, to senior management, with associated poise
execution oriented – doesn’t remain in the theoretical
is able to make choices/decisions in the name of delivering rapid business impact
collaborative – easy to work with, across all levels of the organization
builds effective working relationships
bias for change – actively seeks out ways to improve processes, people, etc.
influencing – able to influence outcomes without necessarily direct authority
experienced navigating large complex organizations to achieve results
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