Head of Data
4 weeks ago
The Head of Data is the business and technical owner for the end-to-end management and use of data in SPH Media, including the architecture, governance, collection, analysis, and strategic use of data to drive business value.
Responsibilities:
The scope of responsibilities includes the following:
- Assume ownership of the data teams, bringing together the data engineering, audience, and data governance team.
- Evolve our data strategy and evangelise the use of data for decision making to achieve key business outcomes.
- Help to develop and enforce guidelines for the collection, storage, management, documentation, quality, and protection of data.
- Oversee the development and maintenance of the company’s data lake and make use of existing data assets to generate business insights, visualise information, and solve problems.
- Identify opportunities to enrich data by supplementing or fusing it with data from partnerships or other external sources.
- Take a proactive approach to help business heads seek out new revenue opportunities (increase readership, subscriptions, advertisement and new services) through more effective and creative use of data.
- Drive experimental data modelling designs within the business. Run A/B tests in order to evaluate changes in the business’s products and services.
- Track business performance against data analysis models and monitor trends in key business KPIs, providing valuable insights to relevant departments for overall business performance improvement.
Required Skills and Knowledge
- More than 10 years of business experience and at least 5 years in senior management role
- Proven track record in data/big data management, leadership, leading data teams and projects. Experience in building data lakes and end-to-end deployment of data science models will be a plus.
- Strong background in business, mathematics, or data science and analytics is a must
- Background in media, marketing or consumer businesses will be an advantage
- Knowledge and use of BI best practices/methodologies, including reporting tools, querying tools, data analytics methodologies, and data visualisation.
Required Competencies
- Experience with SQL and reporting techniques with proficiency in data analytics tools (R and/or Python)
- Hands-on experience with BigData technologies such as Spark, ProtoBuf, DBT etc.
- Experience with AWS, and with tools such as AirFlow, Kafka, Docker & Kubernetes.
- Excellent communication skills.
- Team-builder, results-oriented, proactive and self-driven.
- Creative and strategic thinker, innovative problem-solving skills, and highly organised.
- Ability to handle multiple simultaneous tasks, prioritise and meet tight deadlines, and demonstrate calmness in times of uncertainty and stress.
Tell employers what skills you have
Excellent Communication Skills
Airflow
Kubernetes
Data Analysis
Stress
Mathematics
Data Management
Data Governance
Data Engineering
SQL
Python
Data Science
Decision Making
Data Analytics
Data Strategy
Data Visualisation
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