Marketing Technologies Analytics

Job Description

* Marketing Technology( Analytics)- Consumer Banking Technology Group Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group T&O, we manage most of the Banks operational processes and inspire to delight our business partners through our multiple banking delivery channels. The role is responsible for growing and leading the highly skilled multi-disciplined engineering that deliver marketing technology and solution for the Consumer Banking business regionally. You will be responsible for driving technology solutions that is used to guide DBS s consumer marketing and customer communications agenda by leveraging big data and AI/machine learning. This is a key technology role to drive the aggressive agenda to create an insights-driven marketing and communications experience through 360 degree understanding of our customers using data and machine learning. The core practice is one of Agile, leveraging cloud native architecture pattern using Test Driven Development (TDD), continuous integration/continuous delivery, in an on-premise or public-cloud environment, where everything is automated. The core design principle is one that promotes API-everything. Key Responsibilities Drive technology strategy, technology stack selection, implementation and R&D of marketing technology for Consumer Banking regionally to transform DBS as the most intelligent bank.Manage the technology team (based in Singapore and Hyderabad) responsible for developing and supporting in-house and/or vendor solutions that power marketing technology across Consumer Banking GroupImplement modern Marketing technology solution and best practices that deliver strong business results and impactPartner with the Marketing and Analytics Business teams in Consumer Banking to deliver marketing technology solutions that meet the business needsSkilled at condensing analysis into actionable insights to inform business decisions within marketing, and influence / transform business performanceResource planning, recruitment and key talent developmentDrive improvements in our development practice of continuous delivery and promote cloud computing and open source solutions where applicable.Performs code reviews as required Do you have Bachelor s Degree in Computer Science or equivalent15+ years of marketing technology and analytics experience in a highly data-driven, analytical environment. Prover expertise and experience in marketing technology including technology selection, implementation and support for a major consumer facing company.Must be able to do technology due diligence to evaluate various solutions including open source and make build vs buy vs. partnerDriven major changes in technology architecture and technology team cultureProven leadership skills building and leading high performing organizationsAbility to multi-task and prioritize effectively in a fast-paced environmentStrong problem solving and troubleshooting skills with the ability to exercise mature judgement Are you experienced in One or more 3 rd party marketing solutions e.g. Adobe Analytics/Marketing Cloud, Salesforce, IBM Unica, Blueshift, Oracle etc.Working with any of the commercial distributions of Hadoop (Hortonworks, Cloudera, MapR, etc.). Strong technical competence to perform advanced marketing analytics: Coding skills (java or python), experience performing analysis with large datasets, analytics tools experience (Hadoop, PySpark, SAS, SQL, HIVE etc.)Data Integration on traditional and Hadoop environmentsModern marketing customer data sources and services like CDP s (Customer Data Platforms), DMP s (Data Management Platforms), and ID Management, and how to leverage data for improved marketing effectiveness.Expertise in digital marketing reporting, analytics, and attribution methodologies including multi-touch attribution, deterministic and probabilistic attribution, and tagging methodologies for improved attribution fidelity. Preferred Skills . Experience in statistical techniques such as: multivariate predictive modelling, multidimensional segmentation, factor analysis, lifetime value determinations, linear and logistic regression, CHAID analysis, latent class analysis, multinomial logistic regression, survival analysis, fractional factorial test design, cluster analysis, Markov Chains, econometric time series AR, MA and ARIMA and Bayesian structural time series (BSTS) modelling etc.Strong ability to translate quantitative data into actionable recommendations and to translate business objectives into marketing goals and measurements.,

Keyskills :
cloud computingdata integration factor analysiscomputer science open sourcecluster analysis big datatest driven development