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Remote Process Mining Jobs in Florida (NOW HIRING)

Remote, United States: W2 position Remote, LATAM About Alpha Lion Alpha Lion is one of the fastest ... Run the primary research cadence: customer interviews, surveys, review mining, support log analysis ...

From world-class events that last a few weeks to mining operations and remote communities who rely ... processes. You are: * 2+ years of experience in SOX requirements, best practice internal control ...

Depending on your expertise, you might design infrastructure in remote locations, develop renewable ... mining and water systems. We bring deep technical knowledge, real-world experience, and a ...

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Remote Process Mining information

What is the difference between Remote Process Mining vs Remote Data Analyst?

AspectRemote Process MiningRemote Data Analyst
Required CredentialsProcess mining certifications, data analysis skillsData analysis certifications, SQL, Excel proficiency
Work EnvironmentSoftware tools, process modeling platformsData visualization tools, spreadsheets, databases
Industry UsageBusiness process improvement, ERP systemsBusiness insights, reporting, decision support
Search & Comparison IntentUnderstanding process optimization rolesAnalyzing data to inform decisions

Remote Process Mining focuses on analyzing and improving business processes using specialized software, while Remote Data Analysts interpret data sets to generate insights. Both roles require analytical skills and familiarity with data tools, but they serve different functions within organizations. Understanding these differences helps job seekers find roles aligned with their skills and career goals.

What is Remote Process Mining?

Remote Process Mining is a data-driven technique that analyzes and visualizes business processes by extracting event logs from information systems, all while working remotely. Professionals in this role use specialized software to discover, monitor, and improve real processes without needing to be physically present in the office. This enables organizations to optimize workflows, identify bottlenecks, and ensure compliance even when teams are distributed or working from home. Remote process mining is especially valuable in today's flexible work environments, as it leverages digital data to enhance operational efficiency.

What are the key skills and qualifications needed to thrive as a Remote Process Mining Specialist, and why are they important?

To thrive as a Remote Process Mining Specialist, you need a strong background in data analytics, process modeling, and business process management, often supported by a degree in computer science, engineering, or a related field. Familiarity with process mining tools such as Celonis, UiPath Process Mining, and data visualization platforms, as well as relevant certifications, is highly valuable. Exceptional problem-solving, communication, and self-motivation skills distinguish top performers in remote environments. These competencies enable effective analysis, insight generation, and collaboration across distributed teams, ensuring successful process optimization initiatives.

How does a remote process mining specialist typically collaborate with cross-functional teams to implement process improvements?

As a remote process mining specialist, you’ll regularly collaborate with business analysts, IT staff, and department managers to gather data, analyze workflows, and identify bottlenecks. Virtual meetings, project management tools, and data sharing platforms are integral to sharing insights and recommendations. You may also lead online workshops or training sessions to help teams understand findings and adopt new processes, making strong communication and remote collaboration skills essential for success in this role.
What are the most commonly searched types of Process Mining jobs in Florida? The most popular types of Process Mining jobs in Florida are:
What are popular job titles related to Remote Process Mining jobs in Florida? For Remote Process Mining jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Process Mining jobs in Florida look for? The top searched job categories for Remote Process Mining jobs in Florida are:
What cities in Florida are hiring for Remote Process Mining jobs? Cities in Florida with the most Remote Process Mining job openings:
Manager of Emerging Technologies

Manager of Emerging Technologies

Fort Pierce Utilities Authority

Fort Pierce, FL • On-site, Remote

$40.73 - $51.93/hr

Other

Posted yesterday


Job description

Position Summary and Qualifications Salary is just one component of FPUA's excellent total compensation package. As an organization, one of our top priorities is to maintain the health and wellbeing of our employees and their families. To achieve this goal, we offer market leading benefits as summarized under the "Benefits" tab above the Description within this job posting.

The salary range shown represents the minimum to midpoint salary for this position. The actual salary offered will depend on qualifications and experience. The Manager of Emerging Technologies will be responsible for leading FPUA's efforts to modernize operations and exploration and integration of artificial intelligence (AI) and emerging technologies.

The position focuses on building internal capability, teaching staff, developing practical use cases, and guiding departments through digital transformation. The position will work closely with IT, department leaders, and cross-functional teams to ensure secure, ethical, and effective deployment of AI tools. Due to the collaborative and foundational nature of this role, remote or hybrid work is not available initially.

Work is performed under the general direction of the Chief Operating Officer. (NOTE: There are also secondary functions which the employee will be required to perform.) Emerging Technology Strategy Develop and maintain a multi-year roadmap for emerging-technology adoption aligned with organizational goals Identify, evaluate current data environment, and prioritize AI use cases based on feasibility, impact, and readiness. Collaborate with IT and departments to improve data availability, quality, and integration

Establish standards and best practices for secure, maintainable, and scalable technology adoption. Provide clear reports and recommendations to leadership on progress, risks, and opportunities. AI, Automation & Applied Analytics Design and deploy practical AI-enabled workflows, intelligent agents, and automation solutions that support operational goals.

Evaluate business processes across departments to identify opportunities for AI-informed improvements. Develop guidelines and frameworks for responsible AI use, emphasizing transparency, privacy, and bias mitigation. Prepare leadership-level reports summarizing progress, risk, and performance impacts.

Organizational Education & Change Enablement Conduct workshops and training sessions to build staff proficiency in AI fundamentals, prompting, and agent-based systems. Translate complex technical concepts into accessible language for diverse audiences. Support organizational change management related to AI adoption and digital transformation.

Cross-Functional Collaboration & Vendor Engagement Serve as liaison with vendors, consultants, and external partners to evaluate emerging technology platforms and solutions. Partner with business units to translate insights into actionable process changes. Ensure systems and solutions evolve through continuous learning and adapt to new workflows, policies, and organizational priorities.

Power BI Development & Integration (Secondary Focus) Develop and maintain Power BI dashboards that consolidate operational metrics and integrate AI-driven insights. Lead staff learning and adoption of BI tools, creating new BI users across departments. Use Power BI visualizations to identify trends, anomalies, and opportunities for process improvement.

Collaborate with IT and department leaders to ensure secure deployment and governance of BI tools. Develop a leadership dashboard prototype that consolidates operational metrics across departments, where appropriate. Bachelor's degree from an accredited college or university in computer science, data science, information systems, or other related area of study along with five (5) years of experience in AI/ML implementation, innovation, or digital transformation roles.

Advanced certifications in AI/ML or cloud platforms (Azure AI, AWS SageMaker, Google Vertex AI) is preferred. The ideal candidate will have demonstrated experience deploying AI solutions and teaching or enabling non-technical audiences to adopt new tools and technologies. Designing and deploying Power BI dashboards for enterprise environments, including KPI reporting and integration with multiple data sources desired.

When considering new job applicants, a comparable amount of training and experience may be substituted in lieu of some of the minimum qualifications. Must posess: thorough knowledge of generative AI, large language models, and agent frameworks knowledge of process mining, workflow automation, and AI-informed analytics strong interpersonal skills to support organizational change management across departments advanced proficiency in Power BI, including DAX, Power Query, and data modeling, and ability to integrate BI dashboards with AI models. Familiarity with other BI platforms (e.g

Tableau, Looker) is a plus. knowledge of data governance, security, and compliance frameworks strong clear and effective communication both orally and in writing, facilitation, and collaboration skills Ability to: incorporate and employ on a continuous basis: initiate change, creativity, collaboration, pride and accountability. design adaptive AI systems that improve over time through exposure to organizational data translate complex technical concepts into accessible language for diverse audiences plan, organize, administer, and evaluate AI projects and staff training activities exercise sound independent judgment within general policy guidelines prepare clear, concise, and complete reports establish and maintain effective working relationships across departments.