Process Mining Engineer
4 weeks ago
RESPONSIBILITIES
Strategy
Contribute to future evolutions of the process mining engineering framework Review and adopt technological advances in large scale data management and engineering Partner with other functions to embed holistic process tracing in systems and operations across the bank to maximize process mining coverage and thereby achieve targeted efficiency outcomesProcess Mining
Strong Expertise on performing process mining using standard tools like Celonis, SoftwareAG ARIS or similar process mining tool Building a modular process mining data framework to maximize data transformation scalability, reuse, robustness, and performance Technical project delivery and ongoing maintenance of data pipelines Monitor ETL runs and optimize execution speed and robustness Embrace professional software development and large-scale data engineering practices Assimilate unknown process domain and terminology quickly Correlate process execution with underlying data traces; locate, explore and quality-assess Guide data scoping and technology toolset selection to streamline project delivery Collaborate with PM architecture for data quality and business volume validation Develop data transformation procedures ( PySpark) for large scale (100GB+) process mining data sets based on big data file systems ( Hadoop, Delta Lake) Develop delta update methodology and procedures Validate information across multiple stakeholders and distil common threads and recommendations Mitigate risks and impediments for project delivery Nurture relationships, build network across key roles in business Reflect on impact of changes in data scope and/or analysis approach and mitigate related risk earlyCommunity
Contribute to PM community of practice (engineering angle) Run PM engineering training sessions Advocate for and role-model process- and data-driven holistic (end-to-end) mindset Present process mining engineering approach, lighthouse project briefs and lessons learned in various tech forums Collaborate with adjunct fields, like automation, simulation, process designRisk Management
Identify and raise risks and missing/ineffective controls Engage process and risk owners to ensure mitigation of raised risks and missing/ineffective controlsGovernance
Refine technical PM delivery methodology and tracking of optimization potential Contribute to the technical PM training curriculum Nurture and streamline collaboration model with (business-centric) PM architecture team Capture lessons learned and derive/design improvements on the PM data transformation Be aware and understand the regulatory framework in which the Group operates, and the regulatory requirements and expectations relevant to the roleRegulatory & Business Conduct
Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Effectively and collaboratively identify, escalate, mitigate, and resolve risk, conduct and compliance matters.Key Stakeholders
Global Process Owners (“GPO”) Product Owners (“BPO”) Process/Subject Matter Experts Process Operators Operational Excellence, Transformation and Lean Practitioners Process Tooling Corporate Functions – incl. Finance, Legal, Tax, Risk, and Audit Solution Architects Enterprise Architecture TechnologyOther Responsibilities
Embed Here for good and Group’s brand and values, Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures; Multiple functions (double hats)Our Ideal Candidate
5+ years of experience in executing process mining projects with a focus on data sourcing, ingestion, transformation and provisioning (=technical angle) Strong understanding large-scale (100GB+) data engineering principles, tools and technology ( PySpark) Strong understanding of process mining methodology Strong understanding of process performance indicators and their calculation logic Strong working experience in developing configurable, scalable solutions to process mining specific data challenges ( dealing with timestamps of varying precision and from multiple time zones) Proficiency in working with process mining solutions Experience in training data engineers for process mining Strong active listening skills Confident and engaging communication skills across all levels of seniority Experience working in large global organisations with multiple value chains Knowledge of FSI processes is a plus Languages - Business level English – oral and writtenRole Specific Technical Competencies
Process Management (BPI / BPA) Problem Solving Process Mining(using Celonis or Software AG ARIS tool) Process Mining Metrics / Measures Data Engineering ( Python, PySpark, SQL) Stakeholder Engagement Business / Process Analysis-
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