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Key Responsibilities and Required Skills for Business Process Technology Consultant

💰 $ - $

Business ProcessAutomationTechnologyConsulting

🎯 Role Definition

A Business Process Technology Consultant designs, implements, and optimizes end-to-end business processes by combining domain knowledge, process modeling (BPMN/DMN), automation technologies (RPA, low-code/no-code platforms), and data-driven analysis. This role partners with business stakeholders and IT to translate process improvement opportunities into scalable technical solutions, drive digital transformation initiatives, and ensure measurable efficiency, compliance, and ROI. Typical responsibilities include process discovery and mapping, solution architecture and configuration, integration design (APIs, ETL), change management and training, and ongoing process governance and performance measurement.

📈 Career Progression

Typical Career Path

Entry Point From:

  • Business Analyst (Process/Systems)
  • Process Improvement Specialist / Continuous Improvement Analyst
  • Junior Automation Developer / RPA Analyst

Advancement To:

  • Senior Business Process Technology Consultant
  • Lead Process Architect / Automation Lead
  • Digital Transformation Manager
  • Head of Business Process Automation

Lateral Moves:

  • Product Owner for Automation Platforms
  • Solution Architect (Integration/APIs)
  • Process Mining / Data Analytics Consultant

Core Responsibilities

Primary Functions

  • Lead cross-functional discovery and process-mapping workshops using BPMN/DMN and process mining tools (e.g., Celonis) to identify automation and optimization opportunities that deliver measurable business outcomes and ROI.
  • Translate complex business requirements into solution designs for low-code/no-code platforms (e.g., Appian, Pega), RPA tools (e.g., UiPath, Automation Anywhere, Blue Prism), or custom integration patterns; create technical and functional design documents.
  • Architect end-to-end automation solutions that integrate legacy systems and modern SaaS applications via APIs, middleware, ETL processes, and message queues, ensuring secure, scalable, and maintainable implementations.
  • Configure and develop workflow applications on BPM platforms, implementing business rules, decision tables, human-in-the-loop tasks, exception handling, and audit trails to support compliance and traceability.
  • Design and implement robotic process automation (RPA) bots and orchestrations, implementing robust error handling, retry logic, scheduling, and centralized monitoring in production environments.
  • Perform data profiling, mapping, and transformation to enable accurate handoffs between systems; collaborate with data engineering teams on schemas, data quality rules, and ingestion pipelines.
  • Build and maintain comprehensive process documentation, including AS-IS and TO-BE models, technical specifications, runbooks, deployment guides, and standard operating procedures.
  • Create and track process KPIs and dashboards (e.g., cycle time, throughput, exception rate, cost per transaction) using BI tools (Power BI, Tableau) to quantify benefits and drive continuous improvement.
  • Lead user acceptance testing (UAT), coordinate test plans and test cases, manage defect triage, and certify production readiness with release and change management teams.
  • Implement governance frameworks for automation and process changes, including intake prioritization, lifecycle management, security reviews, and compliance verification.
  • Provide hands-on configuration and light development for integrations (REST/SOAP APIs, JSON/XML transforms), middleware (MuleSoft, Dell Boomi), and scripting (Python, JavaScript) required for automation solutions.
  • Conduct capacity planning, performance tuning, and scalability assessments for process automation platforms to ensure SLAs are met under production loads.
  • Facilitate stakeholder alignment and change management activities: prepare impact analyses, create training plans, deliver end-user training and workshops, and produce communication collateral to drive adoption.
  • Partner with procurement and vendor management to evaluate third-party automation vendors, manage POCs, negotiate licensing models, and coordinate vendor-led implementations where appropriate.
  • Execute cost-benefit and value-case analyses for automation initiatives, presenting business cases to leadership with quantified savings, risk reduction, and incremental benefits.
  • Mentor and upskill internal teams and junior consultants on process modeling, automation best practices, governance, and tool-specific development standards.
  • Monitor and remediate production incidents tied to automated processes, perform root cause analysis, implement corrective actions, and update operational runbooks.
  • Ensure solutions comply with internal security standards and external regulatory requirements (e.g., SOX, GDPR) by collaborating with security and risk teams on data handling, encryption, and access controls.
  • Stay current with process automation trends (AI/ML augmentation, intelligent document processing, low-code evolution) and pilot new capabilities to continuously enhance the organization's automation maturity.
  • Coordinate multi-stream projects using Agile/Scrum methodologies, maintain product backlogs, define sprint goals, and translate business priorities into incremental deliverables.
  • Standardize reusable process components and accelerators (templates, connectors, bots) to reduce time-to-value for successive automation projects.
  • Drive continuous improvement cycles through Kaizen events, Lean Six Sigma techniques, and periodic process health reviews to sustain long-term efficiency gains.
  • Design and implement hybrid human-automation workflows that address exception routing, escalations, and policy-driven decisioning to preserve business continuity and quality.
  • Collaborate with finance and operations to align process automation initiatives with budgeting, cost tracking, and operational KPI reporting.
  • Support enterprise-level digital transformation programs by aligning process automation roadmaps with cloud migration, ERP upgrades, and organizational change plans.

Secondary Functions

  • Support ad-hoc data requests and exploratory data analysis.
  • Contribute to the organization's data strategy and roadmap.
  • Collaborate with business units to translate data needs into engineering requirements.
  • Participate in sprint planning and agile ceremonies within the data engineering team.

Required Skills & Competencies

Hard Skills (Technical)

  • Business Process Modeling (BPMN, DMN) and process mapping tools (Visio, Signavio, Lucidchart).
  • Experience with RPA platforms such as UiPath, Automation Anywhere, Blue Prism — including bot design, orchestrator configuration, and production deployment.
  • Proficiency with BPM/low-code platforms like Appian, Pega, Camunda, or Mendix for workflow configuration and case management.
  • Familiarity with process mining and analytics tools (Celonis, ProcessGold) for data-driven discovery and root-cause analysis.
  • Integration experience: REST/SOAP APIs, JSON/XML, OAuth, webhooks, and middleware platforms (MuleSoft, Dell Boomi).
  • Scripting and light development skills (Python, JavaScript, Java, .NET) for glue code, transformation logic, and automation scripts.
  • SQL and relational database knowledge for querying, data validation, ETL, and reporting.
  • Knowledge of enterprise architecture concepts, microservices, and cloud platforms (Azure, AWS, GCP) relevant to deployment and scalability.
  • Experience with business rules engines, decision tables, and rule management to externalize decision logic.
  • Familiarity with intelligent automation components: OCR/IDP (e.g., ABBYY, Kofax), document classification, NLP, and ML-based augmentation.
  • Testing and QA practices for automation (unit testing, end-to-end testing, UAT, automated regression).
  • Monitoring, logging, observability tools, and incident management practices for automated workflows.
  • Understanding of security, privacy and compliance requirements (GDPR, SOC2, SOX) as they apply to automated processes.
  • Experience with Agile delivery practices, Jira/Confluence, and DevOps pipelines for CI/CD deployments of automation artifacts.
  • Strong documentation skills for technical specs, runbooks, and governance materials.

Soft Skills

  • Exceptional stakeholder management and cross-functional collaboration — ability to influence non-technical leaders and gain consensus.
  • Strong analytical and problem-solving mindset with attention to detail and a data-driven approach.
  • Excellent verbal and written communication skills; able to translate technical concepts into business value for executives.
  • Facilitation and workshop leadership skills to drive discovery and alignment sessions.
  • Change management and training aptitude to support end-user adoption and behavioral shifts.
  • Time management and prioritization in a portfolio-driven delivery environment.
  • Coaching and mentoring capability to grow junior team members and build internal automation competency.
  • Business acumen and strategic thinking to align automation projects with organizational goals.
  • Adaptability and resilience in fast-paced transformation programs.
  • Customer-service orientation and a results-driven work ethic.

Education & Experience

Educational Background

Minimum Education:

  • Bachelor's degree in Business, Information Systems, Computer Science, Engineering, or related field.

Preferred Education:

  • Master's degree in Business Administration (MBA), Information Systems, Data Science, or related advanced degree.
  • Certifications such as CBAP, Lean Six Sigma (Green/Black Belt), UiPath/Automation Anywhere/Blue Prism developer or architect certifications, Appian/Pega certification, Celonis certification.

Relevant Fields of Study:

  • Business Process Management
  • Computer Science / Information Technology
  • Industrial Engineering / Systems Engineering
  • Data Analytics / Information Systems
  • Operations Management

Experience Requirements

Typical Experience Range: 3–8+ years of progressive experience in business process analysis, process automation, BPM/RPA implementation, or digital transformation roles.

Preferred:

  • 5+ years implementing enterprise automation and process improvement programs with demonstrable ROI.
  • Experience working across both business and IT stakeholders in medium-to-large organizations or consulting environments.
  • Proven track record of delivering automation solutions on at least one major RPA or BPM platform and integrating solutions into enterprise landscapes.
  • Experience with Agile delivery and managing multi-stakeholder roadmaps, including vendor coordination and governance.
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