Torchora
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Key Responsibilities and Required Skills for Value Coordinator

💰 $65,000 - $90,000

Project ManagementBusiness AnalysisOperationsProcess ImprovementHealthcare Administration

🎯 Role Definition

Are you passionate about turning data into actionable insights and driving meaningful change? As our Value Coordinator, you will be the central hub for our value creation initiatives. You'll work at the intersection of data, operations, and strategy, collaborating with diverse teams across the organization to uncover inefficiencies, model improvements, and manage projects that deliver tangible results. This isn't just a support role; you are a catalyst for a smarter, more efficient way of working. You will be empowered to challenge the status quo, champion a culture of continuous improvement, and present your findings to leadership, directly influencing the strategic direction of our company. If you thrive in a dynamic environment and love solving complex puzzles, this is the perfect opportunity to make a significant impact.

📈 Career Progression

Typical Career Path

Entry Point From:

  • Project Coordinator
  • Business Analyst / Data Analyst
  • Process Improvement Specialist
  • Clinical Informatics Specialist

Advancement To:

  • Value Stream Manager or Senior Value Coordinator
  • Process Improvement Manager
  • Program Manager, Value & Efficiency
  • Strategy & Operations Manager

Lateral Moves:

  • Product Manager
  • Senior Business Analyst
  • Strategy Analyst

Core Responsibilities

Primary Functions

  • Spearhead the coordination and execution of value-based initiatives, ensuring projects align with strategic goals and are delivered on time and within scope.
  • Conduct comprehensive data analysis on key performance indicators (KPIs) to identify trends, pinpoint operational inefficiencies, and uncover opportunities for value enhancement.
  • Develop, manage, and continuously refine performance dashboards and reporting tools to provide stakeholders with clear visibility into value-stream metrics.
  • Facilitate dynamic, cross-functional workshops and brainstorming sessions (e.g., Value Analysis/Value Engineering, process mapping) to generate innovative solutions.
  • Serve as the primary liaison between business units, technical teams, and leadership, ensuring seamless communication and alignment on all value-related projects.
  • Construct detailed business cases, compelling cost-benefit analyses, and robust ROI models to justify and prioritize new initiatives.
  • Lead the documentation and visualization of current-state ("as-is") and future-state ("to-be") processes using standard methodologies like value stream mapping.
  • Prepare and deliver persuasive presentations and progress reports to senior management, clearly articulating findings, project status, and strategic recommendations.
  • Champion a pervasive culture of data-driven decision-making and continuous improvement throughout the organization.
  • Monitor project progress, identify potential risks and dependencies, and proactively develop mitigation strategies to keep initiatives on track.
  • Translate complex business needs and value drivers into clear, actionable requirements for data engineering and analytics teams.
  • Manage the central repository of documentation, best practices, and lessons learned for all value analysis projects.
  • Perform root cause analysis on performance gaps or process failures to inform corrective and preventive actions.
  • Engage directly with clients, partners, or internal stakeholders to understand their core needs and define what "value" means to them.
  • Drive the successful adoption of new tools, technologies, and methodologies that enhance the organization's ability to measure and create value.
  • Evaluate the financial and operational impact of implemented changes to quantify value realization and report on success.

Secondary Functions

  • Support ad-hoc data requests and exploratory data analysis to answer pressing business questions.
  • Contribute to the organization's data strategy and roadmap by identifying new data sources and analytical needs.
  • Collaborate with business units to translate data needs into engineering requirements.
  • Participate in sprint planning and agile ceremonies within the data engineering team.
  • Conduct market research and competitive benchmarking to ensure our value propositions and internal processes remain best-in-class.
  • Assist in training and mentoring team members on process improvement principles and analytical tools.

Required Skills & Competencies

Hard Skills (Technical)

  • Process Improvement Methodologies: Strong practical knowledge of Lean, Six Sigma, Value Analysis/Value Engineering (VA/VE), or similar frameworks.
  • Data Analysis & Visualization: Proficiency in using tools like SQL for data extraction and Power BI, Tableau, or advanced Excel for analysis and visualization.
  • Value Stream & Process Mapping: Expertise in creating detailed process maps and flowcharts using tools like Visio, Lucidchart, or Miro.
  • Project Management: Solid understanding of project management principles (Agile, Waterfall) and experience with software like Jira, Asana, or MS Project.
  • Financial Modeling: Ability to build and interpret financial models, including cost-benefit analysis, ROI calculations, and business cases.
  • Statistical Analysis: Foundational knowledge of statistical concepts to ensure sound analytical conclusions.

Soft Skills

  • Stakeholder Management: Exceptional ability to build rapport and collaborate effectively with individuals at all levels of the organization.
  • Communication & Presentation: Superior verbal, written, and presentation skills, with the ability to distill complex information into clear, concise, and compelling narratives.
  • Analytical & Critical Thinking: A sharp, inquisitive mindset with a talent for identifying the root cause of problems and thinking systematically.
  • Influence Without Authority: The ability to persuade and guide cross-functional teams toward a common goal without direct reporting lines.
  • Complex Problem-Solving: A structured yet creative approach to tackling ambiguous and multifaceted challenges.
  • Adaptability & Resilience: Thrives in a fast-paced environment and effectively manages changing priorities and ambiguity.

Education & Experience

Educational Background

Minimum Education:

  • Bachelor's Degree

Preferred Education:

  • Master's Degree (e.g., MBA, MHA, MS in Business Analytics)
  • Certifications such as PMP, Lean Six Sigma (Green or Black Belt), or CBAP are highly desirable.

Relevant Fields of Study:

  • Business Administration or Management
  • Industrial Engineering
  • Healthcare Administration
  • Finance or Economics
  • Data Science or Statistics

Experience Requirements

Typical Experience Range:

  • 3-5 years of experience in a relevant role such as business analysis, project management, process improvement, or a related field.

Preferred:

  • Demonstrated track record of leading or coordinating projects that resulted in measurable improvements in cost, quality, or efficiency.
  • Experience working in a complex, cross-functional environment.
  • Hands-on experience with data visualization and BI tools is strongly preferred.
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