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Head of Platform Engineering - Data & Analytics

Employer
Citi
Location
Singapore, Singapore
Salary
Competitive
Closing date
Dec 15, 2022

View more

Job Function
Other
Industry Sector
Finance - General
Employment Type
Full Time
Education
Bachelors
The Data Analytics Sr Grp Manager manages multiple teams through other managers. In-depth understanding of how own sub-function contributes to achieving the objectives of the function. A good understanding of the industry, direct competitors' products and services, is also necessary in order to contribute to the commercial objectives of the business. Requires thorough understanding of strategic direction of the function within the relevant part of the business, combined with a solid conceptual/practical grounding in both the function and/or area of expertise and related subject areas. Excellent communication skills required in order to negotiate internally, often at a senior level. Some external communication/negotiation may be necessary. Responsible for executing functional strategy in area managed. Determines approach to implementing functional strategy. Accountable for end results, budgeting, planning, policy formulation and contribution to future strategy of the area(s). Impact reflects size of team managed, strategic influence on the business and interaction with other functions or businesses. Full management responsibility for multiple teams, including management of people, budget and planning, to include duties such as performance evaluation, compensation, hiring, disciplinary actions and terminations and budget approval. May be doing involved or responsible for diverse (cross-discipline) activities. Typically, a direct report to a C16 role and function as an intergral member of the functional leadership team within a country/site location, job family, or line of business.

Responsibilities:
  • Manages risk by using established technology delivery management and control processes to address execution challenges associated with quality, schedule, and cost.
  • Implements delivery and technology management approach for projects and associated plans to achieve strategic business goals and operational objectives.
  • Owns financial responsibility for Data and Analytics standard platforms and resources.
  • Serves as subject matter expert to team members on escalated issues, guiding them in the development and delivery of their work product.
  • Manages team to interpret business requirements into technology specifications, ensures platform stability, data quality, and client support.
  • Acquires and apply advanced knowledge of the business, products and processes to ensure data quality and business delivery.
  • Partners to drive adoption of new selected technologies into standard support models and systems.
  • Directs LOB technology lead managers to ensure effective project execution, risk and issue identification, management, and escalation.
  • Manages and delivers all aspects of analytics grid and integration with new Big Data capabilities including introduction and training on newest capabilities and services.
  • Provides rapid response resources to deliver business augmentation and data support (including data movement services).
  • Synthesize analyses, identifies root causes, and develops plans for remediation of issues pertaining to Data and Analytics.
  • Facilitates development of project plans related to schedule, budget, scope, and resources while monitoring project execution to deliver incremental business value.
  • Provides client support for all NA platforms including Analytical and Warehousing technologies.
  • 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:
  • 10+ years managerial experience
  • Degree in computer science, information technology, software engineering or related work experience
  • 15+ years experience managing technology projects and resources, relevant business support and/or general analysis experience


Education:
  • Bachelor's/University degree or equivalent experience, potentially Masters degree and managerial experience


This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Reporting directly to the Head of Data & Analytics, this role will manage a direct and indirect team to affect incremental business outcomes across all key lines of business / functions with a focus on Wealth.

Specifically, the role holder will be responsible for four primary areas - platform engineering, AI / ML, data engineering and data visualization.

The role holder will define and execute relevant roadmaps across all four areas, ensuring key stakeholders are engaged and consulted, and roadmaps are aligned to business priorities to drive revenue outcomes.

In particular, the role holder will partner closely with Technology to standardize data platforms, simplify architecture, and deliver the platform roadmap.

Platform Engineering
  • Define technology roadmap for data platforms in partnership with Technology, engaging relevant stakeholders to ensure required capabilities are identified and incorporated into future state architecture
  • Drive technical vision, technology stack selection and identification of emerging technologies as it relates to big data and artificial intelligence
  • Build sponsorship for transformation and investment, ensuring a robust business case is presented spanning capabilities, risk, and cost
  • Ensure effective integration with data, models and messaging platforms to achieve agile delivery of new use cases
  • Act as gatekeeper with respect to change on data platforms, ensuring changes are in line with platform vision
  • Partner with Technology to review proposed changes to data platforms to ensure solutions are robust, well designed and in line with platform vision
  • Ensure all risks and issues with respect to data platforms are identified and corrective actions defined and delivered in a timely manner
  • Ensure compliance with Citi policies and standards for all data platforms under your purview (including but not limited to information security, entitlements, COB, records management, etc.)
  • Work closely with the Production Support team in the event of an incident, ensuring incidents are addressed in a timely manner and root cause identified and addressed via corrective action plan where appropriate


Artificial Intelligence / Machine Learning
  • Define the roadmap to accelerate the use of AI / ML across the Consumer Bank, ensuring the roadmap is aligned to business priorities
  • Act as an evangelist for AI / ML, educating stakeholders as to how AI / ML can drive value for the bank at scale
  • Work closely with key stakeholders to identify ways in which AI / ML can be leveraged to solve business problems
  • Lead a team of Data Scientists based in our India CoE to create, optimize and productionize AI / ML models across the Consumer Bank, in line with the defined roadmap
  • Ensure that all AI / ML models are deployed in line with Citi policy, and relevant regulations


Data Engineering
  • Guide the future direction of data strategy and processes, including intake, sources, database design and structure, data integrity and database tools.
  • Working in close partnership with the Business Analytics & Insights team to define the data needs of the business, aligned to strategy and priorities and ensure the logic for data elements is defined and data is available in our data lake.
  • Partner with Technology to ingest the required data assets and deliver reporting cubes, lead test and deployment of reporting cubes and underlying data layers.
  • Transform data and information into insights that inform high-level strategy and tactical decision-making in support of revenue and profitability objectives.
  • Be a champion for a data driven culture, lead a team of cross-functional analysts and support and train staff in data systems and reporting.
  • Develop and execute a plan to maximize self-service capabilities for internal users and customers.
  • Proactively communicate and collaborate with internal and external customers to ensure information needs are formalized and understood and be conversant in the functional requirements for information exchange.
  • Ensure compliance with Citi policies and standards with respect to data management / data governance.


Data Visualization
  • Develop and execute the data visualization roadmap.
  • Drive adoption of business intelligence and analytics solutions, gaining support of multiple stakeholders and driving adoption.
  • Lead the regional visualization COE which serves as the regional center of data visualization skills, expertise, people, process, and tools / applications.
  • Develop and drive adoption of data visualization standards and principles, ensuring there is consistency across the board.
  • Work with technology business sponsors to prioritize the continued enhancement of regional reporting capabilities to continually provide incremental business value.


Knowledge / Experience:

Essential:
  • 10+ years' relevant experience in similar roles, preferably within the financial services industry, or a background in any large-scale consumer-oriented firm
  • Degree in Computer Science, Engineering, or Information Technology or related field
  • Expert technical understanding of technology required to implement and execute self-service insights and campaign delivery
  • Knowledge of big data platforms incorporating the data ingestion, query, governance, and deployment life cycle (Hadoop, R, Python, Spark), as well as on-premise hybrid and cloud-based deployment standards
  • Knowledge of statistical modeling including development and model deployment on enterprise platforms
  • Strong understanding of data architecture, data quality and related technologies
  • Working experience with real time data, reporting, and data as a service technology such as APIs and micro-services
  • Experienced with customer analytics - understanding individual customer behavior patterns in acquisition, engagement, retention using individual propensity models, segmentation approaches, etc.
  • Experience with enterprise-level budget planning and management processes
  • Uses Confluence, JIRA, and other agile team process tools to accelerate team outcomes
  • Must possess and demonstrate a "commercial mindset"

Desirable:
  • Knowledge of a consumer banking business across all product lines and associated business acumen
  • Experience with business intelligence (BI) tools through full project lifecycle (requirements gathering, technical design, build and deployment)
  • Experience with Tableau, certification preferred


Job Family Group:
Technology

Job Family:
Data Analytics

Time Type:
Full time

Citi is an equal opportunity and affirmative action employer.

Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Citigroup Inc. and its subsidiaries ("Citi") invite all qualified interested applicants to apply for career opportunities. 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 the " EEO is the Law " poster. View the EEO is the Law Supplement .

View the EEO Policy Statement .

View the Pay Transparency Posting

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