Role Description The Director, Scientific Solutions is a senior leadership role born from a deliberate strategic choice: the most effective way to sell and scale TetraScience’s Scientific Data and AI Cloud is to have a leader who can credibly do both — win the scientific and technical confidence of the customer and own the commercial relationship through close — while leading and developing a team of Scientific Solutions Partners. No separate Account Executive needed. This is not a traditional sales-management role with a presales overlay. The Director owns the most strategic accounts in the region personally while building, coaching, and holding accountable a team of Scientific Solutions Partners. You will set commercial strategy for your territory, model the full customer engagement — from prospecting and discovery through technical solutioning, proof-of-concept, RFP response, and close — and remain accountable for the health, expansion, and renewal of the book of business alongside Delivery Management. You carry both an individual mandate on flagship accounts and a leadership mandate for your team’s collective number. You will work with the world’s largest enterprise biopharma, biotech, and life sciences companies, helping them understand how the Tetra Scientific Data Foundry and Tetra OS transform siloed, raw scientific data into AI-ready scientific datasets across the medallion architecture (bronze → silver → gold → AI-native). You and your team will engage audiences ranging from bench scientists and data engineers to CDOs, VPs of Divisional IT, VPs of Scientific areas, and digital transformation executives. TetraScience provides its solutions leaders with AI-powered tools — including Claude Cowork and Codex — that automate RFPs, triage, and contracting workflows, enabling each leader and their team to operate with the leverage of a much larger organization. Qualifications - Advanced degree in a life science, chemistry, or engineering discipline preferred (MS or PhD); equivalent practical experience considered - 12+ years of combined scientific, technical, and commercial experience in life sciences software, laboratory informatics, scientific data infrastructure, or adjacent domains - Demonstrated leadership experience — managing, coaching, or formally leading sales/solutions professionals, or strong evidence of player-coach leadership and the readiness to build and run a team - Proven track record of personally owning and closing enterprise deals while elevating the performance of others around you - Direct experience in pharma, biotech, or CRO/CDMO environments — as a scientist, scientific software professional, or sales/solutions professional serving these customers - Demonstrated ability to lead and coach complex technical sales cycles in enterprise SaaS or scientific software, including POC design and execution and RFP ownership - Deep familiarity with laboratory workflows and data: you understand what it means when a customer has 50 instruments generating unstructured data that no one can analyze - Fluency with scientific data concepts: file formats, instrument connectivity, data harmonization, and the path from raw data to AI-ready datasets - Experience with modern sales methodologies (MEDDIC, MEDDPICC, Force Management, or similar) and the ability to instill them across a team is very useful but not essential - Strong executive presence — equally compelling in a whiteboard architecture session, a C-suite business case conversation, and an internal leadership forum - Ability to travel (approximately 30%) to client sites within assigned region Requirements - Help to hire, develop, and retain a high-performing team of Scientific Solutions Partners; set clear performance expectations and coach to both scientific credibility and commercial rigor - Establish and reinforce the operating cadence of the team — pipeline reviews, deal inspection, forecasting discipline, and account planning - Coach team members through complex, technical, multi-stakeholder sales cycles, modeling best practice on your own strategic accounts - Serve as an escalation point and executive sponsor for the team’s most important customer relationships and competitive situations - Foster a culture aligned to The Tetra Way — scientific depth, customer obsession, accountability, and high standards - Personally lead technical discovery on strategic accounts and raise the bar for how the team understands each customer’s lab data landscape — instruments, data formats, informatics stack, and data science ambitions - Design and present compelling solution architectures aligned to specific scientific use cases (e.g., ADMET assays, FPLC/UPLC chromatography, bioassay data harmonization, AI training datasets), while ensuring the team can do the same - Champion leading with demos of actual software aligned to each customer’s main value levers - Direct and quality-assure proof-of-concept and proof-of-value engagements across the team, partnering with TetraScience scientific data architects to deliver credible, high-quality demonstrations of the Tetra Scientific Data Foundry’s capabilities - Own RFP technical strategy end-to-end for marquee opportunities, and set the standard for how the team synthesizes platform capabilities, scientific use cases, and customer-specific requirements into compelling, accurate submissions - Articulate the medallion data architecture in scientific and business terms: how bronze (raw scientific data), silver (harmonized Tetra Data), and gold (analysis-ready datasets) each create value, and how TetraScience’s AI-native layer accelerates scientific outcomes - Keep the team current on the scientific and informatics landscape — relevant assay workflows, instrument vendors, SDMS/ELN/LIMS/analytical software integrations, and AI/ML use cases in drug discovery and development - Own the territory commercial strategy and number; build and manage a rigorous, accurate team pipeline with consistent forecasting and visibility to leadership - Personally prospect, qualify, and close strategic flagship accounts while driving the team’s broader pipeline generation in alignment with the TetraScience go-to-market strategy - Relentlessly identify and close expansion opportunities across new labs, instruments, geographies, sites, and use cases within existing accounts — directly and through the team - Manage and coach the full sales cycle from discovery through contracting, using modern sales methodologies (MEDDIC, MEDDPICC, Force Management, or similar) - Build and expand relationships across customer organizations at the most senior levels, from individual contributors to C-suite executive sponsors - Partner with Delivery Management to ensure smooth handoff from sales to delivery and continuity of scientific context across the team’s accounts - Represent TetraScience at industry conferences, seminars, and customer events as a senior, scientifically credible voice - Contribute customer and market insights back to product, marketing, and science teams to inform roadmap and messaging - Help develop compelling content — case studies, solution briefs, demo narratives — that advances the category and enables your team Benefits - 100% employer-paid benefits for all eligible employees and immediate family members - Unlimited paid time off (PTO) - 401K - Flexible working arrangements - Remote work - Company paid Life Insurance, LTD/STD - A culture of continuous improvement where you can grow your career and get coaching

Role Description The Director, Data Science Product Management supports the organization, prioritization, and delivery of a portfolio of data science work that enables machine learning and AI solutions across Liberty Mutual. This role develops and drives product vision, represents the voice of the customer, and partners closely with Data Scientists, Engineers, Architects, and business stakeholders to deliver measurable business value. This role serves as the Product Owner for a portfolio of data science enablement capabilities, partnering with engineering teams to translate customer needs into prioritized roadmaps, backlogs, and delivered solutions. This role is ideal for a candidate who combines strong data science or technical expertise with product thinking and stakeholder leadership. Success requires the ability to understand the needs of Data Scientists, evaluate technical solutions, and translate complex technical concepts into product decisions and business outcomes. This position may be filled as an Assistant Director or Director I, Data Science based on experience. - Asst Director, Data Science Product Management: $125,300 - $176,800 - Dir I, Data Science Product Management: $142,800 - $201,300 Responsibilities - Develop and drive product vision, roadmap, and prioritization for a portfolio of data science enablement capabilities. - Develop business value estimates and success measures to inform prioritization and evaluate outcomes. - Represent the voice of the customer and incorporate stakeholder feedback into product decisions. - Partner with Data Scientists, Data Engineers, Software Engineers, and Architects to support the development, deployment, monitoring, and adoption of machine learning and AI solutions. - Explore and evaluate technical solutions that improve model development, deployment, operational efficiency, and user experience. - Drive the development and adoption of reusable patterns and platform capabilities that enable teams to more effectively deliver data science solutions. - Partner with cross-functional teams to identify and prioritize technical debt reduction, DevOps, and MLOps improvements. - Serve as Product Owner for assigned capabilities, developing, maintaining, and prioritizing product backlogs aligned to roadmap objectives and customer needs. - Partner with delivery teams to support effective planning, execution, and delivery using Agile practices. - Lead discussions, planning sessions, and stakeholder engagements for complex initiatives. - Communicate product plans, priorities, recommendations, and outcomes to stakeholders and leadership. Qualifications - Asst Director, Data Science Product Management: Bachelor’s degree in quantitative field with 5 to 7 years of related experience within insurance, actuarial, data science or technology product management. Master’s degree preferred. ACAS helpful. - Dir I, Data Science Product Management: Bachelor’s degree in quantitative field with 7+ years, typically 10 or more years, of related experience within insurance, actuarial, data science or technology product management preferred. FCAS / ACAS preferred. Master’s degree preferred. - Strong understanding of data science concepts, machine learning workflows, experimentation practices, and model lifecycle management. - Demonstrated understanding of the end-to-end data science lifecycle, including model development, deployment, monitoring, and business value realization. - Experience working directly with Data Scientists and partnering with Engineering and Architecture teams to deliver technical capabilities and business outcomes. - Familiarity with model deployment, monitoring, experimentation, DevOps, and MLOps practices. - Familiarity with modern data, analytics, and AI technologies (AWS, Azure, Databricks, etc.). - Experience supporting enterprise AI/ML platforms, data science enablement capabilities, or model operationalization efforts. - Demonstrated ability to evaluate technical solutions and translate complex data science, AI, and engineering concepts into actionable product decisions and business outcomes. - Experience working effectively in large, complex, and highly matrixed organizations. - Strong communication, stakeholder management, influence, and organizational leadership skills.

Role Description The Senior Director of Commercial Strategy is an enterprise leadership role responsible for centralizing and driving key commercial strategy functions across a complex, matrixed organization. This role owns the end-to-end annual planning process, including segmentation, territory design, coverage modeling, and blueprint governance to ensure alignment with business objectives and sales execution priorities. This position balances long-term strategic planning with operational execution, enabling data-driven decision-making, optimizing cost-to-serve, and aligning compensation strategies to improve sales efficiency and performance. The role partners across sales, finance, operations, and leadership teams to translate strategy into execution. Main Responsibilities - Lead the end-to-end annual planning process, including segmentation, territory alignment, capacity planning, and coverage design - Define and execute role design and commercial strategy while establishing and governing the commercial blueprint and account framework - Establish and enforce governance frameworks, including blueprint and account-level governance, planning cadences, and operating rhythms (e.g., QBRs, MBRs) - Develop and track data-driven segmentation, performance metrics, and dashboards to inform decisions and measure effectiveness - Oversee financial modeling, forecasting, ROI analysis, and cost-to-serve optimization in partnership with finance - Align compensation strategy with commercial objectives and performance outcomes - Drive long-range strategic planning, including scenario modeling and initiative prioritization, and partner cross-functionally to translate strategy into execution - Provide data-driven insights and recommendations to senior leadership while leading and developing a high-performing commercial strategy team Qualifications - Minimum: Bachelor’s degree or equivalent experience - 10+ years of experience in commercial strategy, sales strategy, or related fields - 5+ years of leadership experience in a matrixed organization - Experience with annual planning, segmentation, territory design, and coverage models - Strong analytical skills, including financial modeling and forecasting - Experience driving cross-functional alignment and execution - Ability to operate at both strategic and operational levels - Preferred: Advanced degree (e.g., MBA) - Experience in telecommunications, technology, or large enterprise environments - Experience with cost-to-serve modeling and compensation strategy design - Experience leading large-scale commercial transformation initiatives - Familiarity with CRM platforms and sales enablement tools - Experience building and scaling strategy teams Compensation This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors. - Location Based Pay Ranges: $192,364 - $256,486 in these states: CA, WA Benefits - Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. - We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process.

Role Description The Client Delivery Director is responsible for CBO recruitment and onboarding of prospective clients through value proposition. The role will collaborate closely with the CBO operations team and centers to develop and manage client implementation project plans. Coordinate with internal and external partners to ensure appropriate timeframes are established and key timelines are met throughout the CBO onboarding process. In addition, the Director will oversee the implementation strategy including the development of standardized processes and effective use of tools/templates. This role will act as a liaison between center administrators and the CBO performance team. To effectively manage client delivery, it is crucial to have a deep understanding of the billing process from start to finish. This leader will be very familiar with specific requirements, guidelines, and documentation needed for each center throughout the onboarding phase. This includes understanding the claims submission process, the information required for accurate billing, and any coding or documentation standards. By having a comprehensive understanding of the billing process, you will manage the CBO RCM transition to identify process gaps, minimize errors, reduce denials, and improve cash flow. Qualifications - Experience as a Revenue Cycle Management leader in system conversions and process improvement. - Exceptional ability to comfortably speak with and present to prospective clients using proven selling and persuasion skills. - Proven ability to manage multiple stakeholders and vendors in a complex, fast-paced environment. - Strong analytical skills with proficiency in Microsoft Office, particularly Excel, and familiarity with data visualization tools like Tableau, Power BI, and Viewgol. - Excellent leadership and communication skills, capable of driving change and fostering a culture of accountability and continuous improvement. - Deep understanding of Medicare/Medicaid and other government payors, as well as commercial insurers and specialty contracts. Requirements - Bachelor’s degree with an emphasis in finance, accounting, or healthcare administration. Graduate degree preferred. - If an individual possesses an MS or MA Graduate Degree in a related field of study, prior experience of 6-8 years in people management and/or healthcare operations or revenue cycle is acceptable. - Must have 8-10 years management experience in practice administration, client services, third party billing or healthcare reimbursement. - Previous management experience, preferably in healthcare operations, revenue cycle and/or customer service. Analytics Skills - Advanced Excel Skills. - Be able to identify analysis needs. - Can quickly identify gaps and breakdowns in data. - Uses data to drive strategic thinking and foresight. - Understands what data is most important to leaders. Benefits - Paid Time Off. - Medical, Dental, Vision, Life, Disability. - Healthcare FSA, Dependent Care FSA, Limited Healthcare FSA, FSAs for Transportation and Parking & HSAs. - Matching 401(K) Plan. - AMSURG offers paid time off, 9 observed holidays, and paid family leave. You accrue Paid Time Off (PTO) each pay period and depending on your position can earn a minimum of 20 days and up to 25 days per calendar year. EOE Statement AMSURG is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age (40 or older), race, color, religion, gender, sex, national origin, pregnancy, sexual orientation, disability, genetic information or any other status protected under applicable federal, state, or local laws. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: careers@amsurg.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.