Intelligent Automation - Data Engineer

  • Sector: IT
  • Contact: Myraflor G.Tabuzo
  • Client: Monroe Consulting Group
  • Location: City of Taguig
  • Salary: Negotiable
  • Expiry Date: 01 January 2023
  • Job Ref: BBBH409395_1669959053
  • Contact Email: myraflor.tabuzo@monroeconsulting.com.ph

Executive recruitment company Monroe Consulting Group Philippines is recruiting on behalf of one of the world's largest providers of financial markets data and infrastructure. Our reputable client is currently hiring for Intelligent Automation - Data Engineer, a process mining champion with wider intelligent capabilities, business analysis, and data transformation skills. This is mid shift, hybrid work arrangement based in Taguig.

About the Team
The Intelligent Automation Centre of Excellence (IA COE) enables Customer Operations to exceed business and customer outcomes through the integrated application of Lean process improvement with automation capabilities including process mining, robotics, workflow and other emerging technologies. This approach focuses on maximizing customer value while minimizing waste.
We are shifting the management mindset from vertical silos to optimizing the flow of information, products, and services horizontally across technologies, market events, and operations to customers
About the Role
The IA Data Engineer is a key member of the team, working as a champion for Process Mining and wider Intelligent automation capabilities. The role works closely with the IA Delivery lead to integrate Process Mining into the operational fabric of the company, helping to accelerate the growth and adoption of the technology across Customer Operations. The role requires a strong technical understanding of process mining applications and data visualization techniques, plus excellent business analysis and data transformation skills. They will be able to understand business and system requirements to connect process mining platforms to enterprise applications. Working with the business as a process mining subject matter expert, they must be able to precisely evaluate mining outputs, highlighting areas of inefficiency and root causes. They must also be able to articulate potential improvements and prospective benefits to senior stakeholders and business users and support to align potential solutions to remediate pain areas.

Key responsibilities include:

  • Own and drive end-to-end the implementation of the Process Mining technology across various business units and IT landscapes
  • Help Customer Operations drive significant business outcomes and ROI by leveraging the insights uncovered through Process Mining
  • Connect the Process Mining platform to on-premise/ Cloud ERP & IT systems, whilst liaising with key stakeholders and ensuring control protocols are adhered to
  • Collaborate directly with senior level executives, process owners and technical teams within each business unit to understand their goals, objectives and requirements and translate them into Process Mining technical requirements
  • Conduct initial Business Process analysis to assess suitability of mining projects to build out the pipeline, and to prioritize the pipeline against agreed criteria
  • Plan, schedule, and manage project timelines and activities from project kick-off through training to ensure each project is delivered on time and requirements are met
  • Extract and transform and load business data into the Process Mining platform
  • Design process and business-specific dashboards, analyses and reports
  • Aid the identification of process improvement opportunities by aligning closely with the available technology toolkit of the company and ideate solutions with business stakeholders
  • Present implementation results to senior level executives and business users
  • Organize and lead process mining workshops and awareness training sessions
  • Participate in the definition and improvement of the overall Intelligent Automation value proposition
  • Assist in the development of process mining quality standards and best practices for the Intelligent Automation function to ensure that work is done to the highest possible standard.
  • Actively participate within the team, providing timely updates to stakeholders during project delivery


Key requirements include:

  • College degree / Bachelor's degree in a technology-related course
  • 3+ years of experience working on similar position in a corporate organization
  • Certification with a market leading Process Mining application (Celonis, Minit, Software AG, UiPath all considered) is a must
  • Proven experience in delivering successful projects within process mining, business process analysis, process improvement, business process management and/or related fields (3 years minimum)
  • Excellent and effective communicator, both verbally and written, to all levels of management, and externally
  • Have a strong interest in Big Data, Data Mining, and Process Mining and Continuous Process Excellence
  • Proven experience working with market leading process mining technologies such as Celonis, UiPath, Minit or Software AG (experience with other tools considered based on level of experience)
  • Strong SQL experience writing and editing scripts to extract, transform and load data from various sources
  • Good understanding of core business processes managed in SAP and/or Oracle and/or ServiceNow and/or Salesforce
  • Proven experience working with / creating API's to connect to enterprise applications and databases to process mining tools
  • Experience with other big data technologies including MongoDB, Hadoop, Kafka, and Elastic Search preferred
  • Good understanding of a typical enterprise IT architecture, system landscape, etc
  • Ability to creatively and clearly explain and present complex concepts and solutions
  • Highly analytical mindset, being able to understand the link between technology and business value
  • Familiarity with software development and implementation lifecycle
  • Understanding of other supplementary Intelligent Automation domains such as RPA, Workflow, Natural Language Processing etc
  • Strong interpersonal and organizational skills
  • Excellent collaborative skills, ability to work with others to deliver to specification
  • Passion for solving problems and excellent analytical skills
  • Strong project management skills and ability to meet deadlines
  • Passion for continued learning and development