Miranda Chong
Head of Data @DICE
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WORK HISTORY
Head of Data @DICE
London, GB
The Data team at DICE is 24+ strong. As the Head of Data I am accountable for the Data Analytics, Data Science, Data Engineering, and Analytics Engineering units. I am currently line managing 10 direct reports - the manager of managers. And I need a Data Engineering Manager to help manage a high-performance data engineering/analytics engineering team! If that is you, please apply via
EDUCATION
The Open University Business School
Master of Business Administration - MBA, Business Administration and Management, General
University of Wolverhampton
Doctor of Philosophy (Ph.D.), Computational Linguistics
ABOUT MIRANDA CHONG
Accomplished data professional with a PhD in Natural Language Processing. Currently reading an MBA. 14+ years of experience in data science and analytics, and 7+ years in leadership and people & process management. Track record of embedding data science and analytics across all operations, with experience spanning across fast-paced start-ups and external advisory roles in big corps. Experienced in agile management & delivery of complex data innovation projects, working with cross-functional teams, and managing stakeholders and data teams across organisations. Passionate about people, culture and strategy - building impactful data teams, fostering talents in a learning and caring culture, setting strategic direction and growth methods that are aligned with the culture and organisation structure. Industry experience include- Marketing & advertising: AdTech, digital marketing, marketing analytics, A/B testing, web analytics- Highly-regulated industries: Legal (LegalTech), Insurance (InsurTech), FinTech, personal data/behavioural data analytics, Risk modelling- Product development/analytics: B2B and B2C digital and retail product analytics, data-driven product design and placement, recommendation engine, personalisation engine- Management consultancy: Advised clients in the Legal, Insurance, FMCG, and Oil & Gas industries, with project spanning across data innovation, data science, data engineering, digital transformation, change management.
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