University Health
San Antonio, Texas
Position Summary & Responsibilities Lead innovation. Inspire excellence. Transform healthcare learning. University Health's Center for Learning Excellence is seeking an innovative, collaborative Senior Manager of Instructional Design to lead learning strategy, instructional design, and e-learning development. Applying expertise in adult learning theory, performance improvement, and instructional design best practices, this leader will oversee complex projects from concept through implementation, mentor and develop a high-performing team, and partner with healthcare professionals and organizational leaders to deliver engaging, measurable learning solutions that advance healthcare education and organizational success. What You'll Do Set the vision for instructional design. Lead the strategy, design, development, and implementation of innovative learning solutions that support organizational goals and improve performance. Create engaging, high-impact learning experiences. Guide the development of eLearning, instructor-led training (ILT), virtual instructor-led training (vILT), videos, and performance support resources grounded in adult learning principles and instructional design best practices. Lead and inspire a high-performing team. Mentor, coach, and develop instructional design professionals, fostering collaboration, creativity, continuous improvement, and a commitment to quality. Drive innovation and instructional excellence. Establish and champion design standards, explore new approaches and technologies, and ensure learning experiences are relevant, accessible, engaging, and effective. Turn learning needs into measurable outcomes. Lead audience, stakeholder, and logistical analyses to identify competencies, assess skill gaps, and define clear learning objectives and performance outcomes. Manage complex initiatives from start to finish. Oversee project planning, resource allocation, priorities, timelines, deliverables, and status reporting to ensure projects are completed efficiently and successfully. Build strategic partnerships. Collaborate with department leaders, healthcare professionals, subject matter experts, and external partners to develop learning solutions that address real-world challenges and support organizational success. Champion continuous improvement. Evaluate learning effectiveness, identify opportunities to enhance instructional strategies, and use feedback and performance data to strengthen learning outcomes. Education & Experience Bachelor's degree or higher in instructional design, curriculum and instruction, adult education, healthcare, instructional technology, or a related field required; master's degree preferred. Five or more years of experience applying adult learning principles in a corporate training or professional services environment, with an emphasis on eLearning and instructor-led training and a demonstrated record of leadership and innovation. Proven experience leading complex instructional design projects from concept through implementation. Demonstrated team leadership experience, including the ability to coach, mentor, inspire, and motivate others. Proficiency in Articulate Storyline, Articulate Rise, Microsoft Word, Excel, Access, Outlook, and PeopleSoft. Experience with multimedia development tools such as Adobe Creative Suite and Camtasia highly desirable. Strong project management skills, including the ability to manage multiple priorities, coordinate resources, meet deadlines, and communicate project status effectively. Experience in a hospital or healthcare setting preferred. Why Join University Health's Center for Learning Excellence? A Collaborative Team and Engaging Office Environment Enjoy working in an engaging office environment alongside a talented, supportive team that values collaboration, creativity, and shared success. At the Center for Learning Excellence, you'll have the opportunity to exchange ideas, build strong partnerships, learn from experienced colleagues, and work together to bring innovative learning solutions to life. We believe great work happens when passionate people come together around a shared purpose. At University Health, learning and development is more than training-it's an opportunity to strengthen teams, elevate performance, and make a meaningful impact on the people who care for our community. The Center for Learning Excellence has earned recognition from leading talent development organizations for its commitment to learning innovation, organizational impact, and professional excellence. A globally recognized learning organization. The Center for Learning Excellence has been recognized through the Association for Talent Development (ATD) BEST Awards program, which honors organizations that demonstrate enterprise-wide success through talent development. University Health's 2020 recognition placed the organization in the elite "BEST of the BEST" category. Learning that makes a difference. University Health was the inaugural recipient of the ATD Good Award in recognition of the role talent development played in making a meaningful contribution to people and communities. A commitment to learning excellence. The Center for Learning Excellence has also earned recognition through Chief Learning Officer magazine's LearningElite program, including Gold Level recognition. As Senior Manager of Instructional Design, you'll have the opportunity to build on this legacy, lead a talented team, champion new ideas, and create learning experiences that help healthcare professionals thrive. Bring your vision. Inspire your team. Help shape the future of healthcare learning. Additional Responsibilities Lead the design, development, implementation, and continuous improvement of learning and development programs and initiatives. Partner with department colleagues, subject matter experts, and organizational leaders to identify learning needs and deliver effective solutions. Establish instructional design standards and oversee quality assurance for eLearning, videos, vILT, ILT, and performance support materials. Apply instructional design best practices and emerging learning technologies to create engaging, learner-centered experiences.
Position Summary & Responsibilities Lead innovation. Inspire excellence. Transform healthcare learning. University Health's Center for Learning Excellence is seeking an innovative, collaborative Senior Manager of Instructional Design to lead learning strategy, instructional design, and e-learning development. Applying expertise in adult learning theory, performance improvement, and instructional design best practices, this leader will oversee complex projects from concept through implementation, mentor and develop a high-performing team, and partner with healthcare professionals and organizational leaders to deliver engaging, measurable learning solutions that advance healthcare education and organizational success. What You'll Do Set the vision for instructional design. Lead the strategy, design, development, and implementation of innovative learning solutions that support organizational goals and improve performance. Create engaging, high-impact learning experiences. Guide the development of eLearning, instructor-led training (ILT), virtual instructor-led training (vILT), videos, and performance support resources grounded in adult learning principles and instructional design best practices. Lead and inspire a high-performing team. Mentor, coach, and develop instructional design professionals, fostering collaboration, creativity, continuous improvement, and a commitment to quality. Drive innovation and instructional excellence. Establish and champion design standards, explore new approaches and technologies, and ensure learning experiences are relevant, accessible, engaging, and effective. Turn learning needs into measurable outcomes. Lead audience, stakeholder, and logistical analyses to identify competencies, assess skill gaps, and define clear learning objectives and performance outcomes. Manage complex initiatives from start to finish. Oversee project planning, resource allocation, priorities, timelines, deliverables, and status reporting to ensure projects are completed efficiently and successfully. Build strategic partnerships. Collaborate with department leaders, healthcare professionals, subject matter experts, and external partners to develop learning solutions that address real-world challenges and support organizational success. Champion continuous improvement. Evaluate learning effectiveness, identify opportunities to enhance instructional strategies, and use feedback and performance data to strengthen learning outcomes. Education & Experience Bachelor's degree or higher in instructional design, curriculum and instruction, adult education, healthcare, instructional technology, or a related field required; master's degree preferred. Five or more years of experience applying adult learning principles in a corporate training or professional services environment, with an emphasis on eLearning and instructor-led training and a demonstrated record of leadership and innovation. Proven experience leading complex instructional design projects from concept through implementation. Demonstrated team leadership experience, including the ability to coach, mentor, inspire, and motivate others. Proficiency in Articulate Storyline, Articulate Rise, Microsoft Word, Excel, Access, Outlook, and PeopleSoft. Experience with multimedia development tools such as Adobe Creative Suite and Camtasia highly desirable. Strong project management skills, including the ability to manage multiple priorities, coordinate resources, meet deadlines, and communicate project status effectively. Experience in a hospital or healthcare setting preferred. Why Join University Health's Center for Learning Excellence? A Collaborative Team and Engaging Office Environment Enjoy working in an engaging office environment alongside a talented, supportive team that values collaboration, creativity, and shared success. At the Center for Learning Excellence, you'll have the opportunity to exchange ideas, build strong partnerships, learn from experienced colleagues, and work together to bring innovative learning solutions to life. We believe great work happens when passionate people come together around a shared purpose. At University Health, learning and development is more than training-it's an opportunity to strengthen teams, elevate performance, and make a meaningful impact on the people who care for our community. The Center for Learning Excellence has earned recognition from leading talent development organizations for its commitment to learning innovation, organizational impact, and professional excellence. A globally recognized learning organization. The Center for Learning Excellence has been recognized through the Association for Talent Development (ATD) BEST Awards program, which honors organizations that demonstrate enterprise-wide success through talent development. University Health's 2020 recognition placed the organization in the elite "BEST of the BEST" category. Learning that makes a difference. University Health was the inaugural recipient of the ATD Good Award in recognition of the role talent development played in making a meaningful contribution to people and communities. A commitment to learning excellence. The Center for Learning Excellence has also earned recognition through Chief Learning Officer magazine's LearningElite program, including Gold Level recognition. As Senior Manager of Instructional Design, you'll have the opportunity to build on this legacy, lead a talented team, champion new ideas, and create learning experiences that help healthcare professionals thrive. Bring your vision. Inspire your team. Help shape the future of healthcare learning. Additional Responsibilities Lead the design, development, implementation, and continuous improvement of learning and development programs and initiatives. Partner with department colleagues, subject matter experts, and organizational leaders to identify learning needs and deliver effective solutions. Establish instructional design standards and oversee quality assurance for eLearning, videos, vILT, ILT, and performance support materials. Apply instructional design best practices and emerging learning technologies to create engaging, learner-centered experiences.
SM-Energy Company
Denver, Colorado
Job Description Job Description The Performance & Insights Engineer sits within SM Energy's Enterprise Performance & Insights team, reporting into the Chief Operating Officer organization, and works at the intersection of petroleum engineering, data engineering, and executive decision support. This role translates complex subsurface, operational, and financial data into high-impact analyses, models, and executive-ready deliverables that inform Investor Relations (IR) and Board of Directors (BOD) communications and advance critical strategic initiatives. Combining a working command of operational and asset engineering fundamentals with full-stack data wrangling and coding capability and modern AI-assisted workflows, the engineer independently frames ambiguous business problems, builds scalable end-to-end analytical solutions, and communicates insights persuasively to senior leadership. Operates under limited review while handling assignments of broad scope and complex difficulty; may mentor less experienced analysts and engineers and supervise their technical work. Essential Roles and Responsibilities Translate complex operational, development, and financial business problems into end-to-end analytical solutions - from data acquisition and pipeline through model, visualization, and executive-ready deliverable. Build, maintain, and optimize data pipelines, queries, and analytics data views across production, reservoir, financial, and capital-planning domains using SQL and Python; design and test scripts, stored procedures, functions, and views. Deliver executive and Board-ready artifacts through an agentic, AI-assisted workflow - directing tools such as Claude to build self-contained HTML dashboards, branded decks, and models from a spec, then refining them while retaining judgment over accuracy and design. Understanding of production and reservoir engineering fundamentals - decline curve analysis (DCA), rate/pressure transient analysis (RTA/PTA), volumetrics, EURs, artificial lift, and production optimization - to QA/QC data and pressure-test analytical results for physical reasonableness. Develop capital-efficiency, production-performance, operational KPIs, and economic metrics and models that support budgeting, forecasting, and strategic decision-making across operating regions. Design and produce executive-facing reporting - BOD slides, IR materials, and interactive dashboards - built to SM Energy brand standards. Leverage AI tools (e.g., large language model assistants such as Claude) to accelerate code development, data QA/QC, documentation, and analysis, applying sound engineering judgment to validate and stress-test AI-assisted output. Develop correlations between geological, completion, operational, and financial variables and well- and asset-level performance. Perform ad-hoc analyses; troubleshoot data-quality issues across the business; proactively identify potential issues and recommend solutions. Serve as a liaison across Operations, Finance, IR, Reservoir/Asset teams, and IT/Data - bridging deeply technical work and business audiences. Monitor production, capital, and financial data for discrepancies and opportunities; recommend operational and process improvements. Contribute to data governance, code documentation, change-release process, and best practices; educate others in support of a data- and AI-first culture. Manage and engage in multiple initiatives simultaneously; independently prioritize tasks and eliminate roadblocks to meet target deadlines. Conduct business with the highest ethical standards; demonstrate decision-making that ensures the safety of all people associated with SM facilities. Other duties as assigned. Role-Specific Technical Knowledge & Skills Petroleum Engineering. Working command of production operations, artificial-lift applications, and fundamental reservoir engineering disciplines - decline curve analysis, rate/pressure transient analysis, volumetrics, recoveries, EURs, and recovery factors. Understanding of unconventional resource plays across multiple basins/operating regions and familiarity with reserves, economics, AFE, and capital-planning workflows. Ability to identify limitations and ranges of certainty in a data set and to relate reservoir, completion, and operational characteristics to well performance. Data Engineering & Analytics. Advanced ability to wrangle, pre-process, and feature-engineer data and to connect data from disparate sources to surface insights, data-quality issues, and variable correlations. Sound applied-statistics foundation; competence with machine-learning concepts and frameworks a plus. End-to-end pipeline design that is cost-effective and scalable; strong code documentation and change-management discipline. AI-Augmented Delivery. Ability to integrate AI tools into daily delivery to compress cycle time while retaining engineering ownership of correctness - treating AI output as a draft to be verified, not a final answer. Understands data-security and data-privacy implications of AI-assisted and cloud-based workflows and accounts for them appropriately. Computer/Software Applications Programming & Analytics: Advanced SQL and Python (pandas, numpy, and related data ecosystem); R or comparable a plus. Data Platforms & Architecture: Data virtualization via Denodo; Snowflake and/or Databricks; Palantir Foundry; relational database design; ETL/ELT (dbt, SSIS); cloud environments (Azure, AWS). Visualization & Reporting: Governed enterprise BI (Power BI, Spotfire, or Tableau) for refreshing dashboards, plus bespoke interactive tools built as self-contained HTML dashboards (D3, Plotly, Recharts) that run anywhere without a license or server. Advanced PowerPoint and Excel for executive and Board deliverables, produced to SM Energy brand standards. Development Tools: Git/GitHub, modern IDEs (VS Code, PyCharm), notebooks (Jupyter), and fast dependency/environment management (uv, Poetry, conda). Comfortable in the agentic developer loop - coding assistants such as Claude Code, Cursor, or GitHub Copilot working inside the IDE/terminal, not used only as a side chat. Agentic Delivery: Fluent in AI-assisted artifact creation - directing agentic tools (e.g., Claude) to build branded HTML dashboards, PowerPoint decks, and Excel models end to end from a specification, then refining them iteratively. Applies SM's visual standards programmatically ("brand-as-code") so output is board-ready by default, and exercises judgment over layout, data integrity, and narrative clarity rather than accepting first-pass output. AI-Augmented Development: Fluent in an AI-native analytics workflow - uses LLM assistants (e.g., Claude) and agentic tools to accelerate development, QA/QC, refactoring, and documentation, always validating output against engineering judgment. Can leverage the Model Context Protocol (MCP) to connect AI agents securely to enterprise data and tools (e.g., querying Denodo or Snowflake, drafting Office deliverables) and platform-native AI such as Snowflake Cortex and Power BI Copilot, keeping data security and governance front of mind. Petroleum Engineering Software: Aries, Wellview, and Spotfire; exposure to RTA/PTA and production-analysis tools; reservoir simulation and frac models a plus. Education Bachelor's degree required in Petroleum, Chemical, or Mechanical Engineering; Data Science; Computer Science; Statistics; or a related quantitative field. A dual foundation in engineering and computing/data is strongly preferred. Advanced degree a plus. Typical Experience Minimum of 6 years of relevant experience. Experience should span both petroleum engineering (production/operations, and/or reservoir) and hands-on data/analytics development. Demonstrated delivery of executive- or Board-facing analytical work is strongly preferred. SM Energy offers competitive compensation and benefits programs which include, but are not limited to, variable pay, health care coverage, retirement plan, protection coverage, time off and leave programs, training and development opportunities and a range of allowances connected to specific work situations. Details are available at Careers SM Energy Company (SM) (). Applications will be accepted on an ongoing basis until the position is filled.
Job Description Job Description The Performance & Insights Engineer sits within SM Energy's Enterprise Performance & Insights team, reporting into the Chief Operating Officer organization, and works at the intersection of petroleum engineering, data engineering, and executive decision support. This role translates complex subsurface, operational, and financial data into high-impact analyses, models, and executive-ready deliverables that inform Investor Relations (IR) and Board of Directors (BOD) communications and advance critical strategic initiatives. Combining a working command of operational and asset engineering fundamentals with full-stack data wrangling and coding capability and modern AI-assisted workflows, the engineer independently frames ambiguous business problems, builds scalable end-to-end analytical solutions, and communicates insights persuasively to senior leadership. Operates under limited review while handling assignments of broad scope and complex difficulty; may mentor less experienced analysts and engineers and supervise their technical work. Essential Roles and Responsibilities Translate complex operational, development, and financial business problems into end-to-end analytical solutions - from data acquisition and pipeline through model, visualization, and executive-ready deliverable. Build, maintain, and optimize data pipelines, queries, and analytics data views across production, reservoir, financial, and capital-planning domains using SQL and Python; design and test scripts, stored procedures, functions, and views. Deliver executive and Board-ready artifacts through an agentic, AI-assisted workflow - directing tools such as Claude to build self-contained HTML dashboards, branded decks, and models from a spec, then refining them while retaining judgment over accuracy and design. Understanding of production and reservoir engineering fundamentals - decline curve analysis (DCA), rate/pressure transient analysis (RTA/PTA), volumetrics, EURs, artificial lift, and production optimization - to QA/QC data and pressure-test analytical results for physical reasonableness. Develop capital-efficiency, production-performance, operational KPIs, and economic metrics and models that support budgeting, forecasting, and strategic decision-making across operating regions. Design and produce executive-facing reporting - BOD slides, IR materials, and interactive dashboards - built to SM Energy brand standards. Leverage AI tools (e.g., large language model assistants such as Claude) to accelerate code development, data QA/QC, documentation, and analysis, applying sound engineering judgment to validate and stress-test AI-assisted output. Develop correlations between geological, completion, operational, and financial variables and well- and asset-level performance. Perform ad-hoc analyses; troubleshoot data-quality issues across the business; proactively identify potential issues and recommend solutions. Serve as a liaison across Operations, Finance, IR, Reservoir/Asset teams, and IT/Data - bridging deeply technical work and business audiences. Monitor production, capital, and financial data for discrepancies and opportunities; recommend operational and process improvements. Contribute to data governance, code documentation, change-release process, and best practices; educate others in support of a data- and AI-first culture. Manage and engage in multiple initiatives simultaneously; independently prioritize tasks and eliminate roadblocks to meet target deadlines. Conduct business with the highest ethical standards; demonstrate decision-making that ensures the safety of all people associated with SM facilities. Other duties as assigned. Role-Specific Technical Knowledge & Skills Petroleum Engineering. Working command of production operations, artificial-lift applications, and fundamental reservoir engineering disciplines - decline curve analysis, rate/pressure transient analysis, volumetrics, recoveries, EURs, and recovery factors. Understanding of unconventional resource plays across multiple basins/operating regions and familiarity with reserves, economics, AFE, and capital-planning workflows. Ability to identify limitations and ranges of certainty in a data set and to relate reservoir, completion, and operational characteristics to well performance. Data Engineering & Analytics. Advanced ability to wrangle, pre-process, and feature-engineer data and to connect data from disparate sources to surface insights, data-quality issues, and variable correlations. Sound applied-statistics foundation; competence with machine-learning concepts and frameworks a plus. End-to-end pipeline design that is cost-effective and scalable; strong code documentation and change-management discipline. AI-Augmented Delivery. Ability to integrate AI tools into daily delivery to compress cycle time while retaining engineering ownership of correctness - treating AI output as a draft to be verified, not a final answer. Understands data-security and data-privacy implications of AI-assisted and cloud-based workflows and accounts for them appropriately. Computer/Software Applications Programming & Analytics: Advanced SQL and Python (pandas, numpy, and related data ecosystem); R or comparable a plus. Data Platforms & Architecture: Data virtualization via Denodo; Snowflake and/or Databricks; Palantir Foundry; relational database design; ETL/ELT (dbt, SSIS); cloud environments (Azure, AWS). Visualization & Reporting: Governed enterprise BI (Power BI, Spotfire, or Tableau) for refreshing dashboards, plus bespoke interactive tools built as self-contained HTML dashboards (D3, Plotly, Recharts) that run anywhere without a license or server. Advanced PowerPoint and Excel for executive and Board deliverables, produced to SM Energy brand standards. Development Tools: Git/GitHub, modern IDEs (VS Code, PyCharm), notebooks (Jupyter), and fast dependency/environment management (uv, Poetry, conda). Comfortable in the agentic developer loop - coding assistants such as Claude Code, Cursor, or GitHub Copilot working inside the IDE/terminal, not used only as a side chat. Agentic Delivery: Fluent in AI-assisted artifact creation - directing agentic tools (e.g., Claude) to build branded HTML dashboards, PowerPoint decks, and Excel models end to end from a specification, then refining them iteratively. Applies SM's visual standards programmatically ("brand-as-code") so output is board-ready by default, and exercises judgment over layout, data integrity, and narrative clarity rather than accepting first-pass output. AI-Augmented Development: Fluent in an AI-native analytics workflow - uses LLM assistants (e.g., Claude) and agentic tools to accelerate development, QA/QC, refactoring, and documentation, always validating output against engineering judgment. Can leverage the Model Context Protocol (MCP) to connect AI agents securely to enterprise data and tools (e.g., querying Denodo or Snowflake, drafting Office deliverables) and platform-native AI such as Snowflake Cortex and Power BI Copilot, keeping data security and governance front of mind. Petroleum Engineering Software: Aries, Wellview, and Spotfire; exposure to RTA/PTA and production-analysis tools; reservoir simulation and frac models a plus. Education Bachelor's degree required in Petroleum, Chemical, or Mechanical Engineering; Data Science; Computer Science; Statistics; or a related quantitative field. A dual foundation in engineering and computing/data is strongly preferred. Advanced degree a plus. Typical Experience Minimum of 6 years of relevant experience. Experience should span both petroleum engineering (production/operations, and/or reservoir) and hands-on data/analytics development. Demonstrated delivery of executive- or Board-facing analytical work is strongly preferred. SM Energy offers competitive compensation and benefits programs which include, but are not limited to, variable pay, health care coverage, retirement plan, protection coverage, time off and leave programs, training and development opportunities and a range of allowances connected to specific work situations. Details are available at Careers SM Energy Company (SM) (). Applications will be accepted on an ongoing basis until the position is filled.