Big Data Practice lead

BI & DW

An international consultancy is looking for a Big Data expert to drive the companies Big Data Practice

An international professional services consultancy is looking for a Senior Big Data expert to drive their Big Data & Analytics Practice in Melbourne

Working with other senior people within the business, you will help shape the go-to-market, including service offers; capability and training plans; marketing and vendor partnerships.

You will also design, manage, deliver and implement complex data and information management platforms in areas such as business intelligence, machine learning, data mining, complex data analytics, taking a solution from strategy through implementation to managed service.

You will work in some of the most challenging and exciting domains across government and industry, grappling with the most interesting and varied data sets Australia has to offer. You will be undertaking complex research in the application of data governance, data analytics and science techniques to industry business problems along with designing data management and analytics processes and models to deliver insights and meet business outcomes.

  
Responsibilities:
  • Designing, architecting, and implementing complex real-time and batch data analysis solutions and services in business intelligence, predictive and prescriptive analytics, data science, data management, and information management, utilizing Agile (Scrum) frameworks
  • Designing, developing and implementing machine learning algorithms to create, coordinate and deploy information and analytics solutions
  • Providing technical guidance as SME and hands-on delivery to team members across multiple clients and engagements
  • Building relationships with clients and relevant vendors (i.e. Marklogic, Cloudera, Splunk, etc) identifying opportunities for organizational transformation and data design improvement
  • Leading and delivering business development activities in the data and analytics space
  • Managing multiple client engagements and leading several teams
  • Managing and mentoring staff 
  
Skills & Experience:
  • Proven experience producing design artefacts, prototypes, process models, service catalogs, and service designs, and dealing with complex data sets, data platform/techniques, and analytics solutions
  • Proven experience designing across multiple big data technologies, such as Cloudera, Marklogic, Neo4j, Splunk, Cassandra, Spark, Kafka, etc.
  • Experience designing data mining and analytics solutions with a range of software and statistical development platforms (such as R, Python, etc).
  • Experience designing across multiple data visualization technologies, including Qlik & Tableau
  • Well-developed skills using SQL for data manipulation and query of large datasets
  • Excellent understanding of a range of predictive and descriptive modeling techniques
  • Solid knowledge in popular techniques and algorithms for data mining and machine learning, such as classification, clustering, outlier detection, association rules, time series analysis, text mining, natural language processing, and social network analysis