• Own and lead the ASW Business Excellence function, setting vision, priorities, standards, and governance. • Define and deploy the enterprise operating system, including KPI architecture, review cadence, and escalation mechanisms. • Hold leaders accountable for performance outcomes through disciplined operating reviews and corrective action governance. • Translate enterprise strategy into operational priorities, initiatives, and measurable targets. • Own the operational components of the Annual Operating Plan (AOP), ensuring alignment between strategy, capacity, capital, and execution. • Drive margin expansion initiatives, including productivity, labor optimization, footprint efficiency, and working capital improvement. • Identify and prioritize enterprise improvement initiatives that unlock growth, scalability, and profitability. • Establish and enforce standardized manufacturing processes, workflows, and performance expectations across all sites. • Lead capacity, footprint, and throughput strategies to support growth while controlling cost. • Oversee enterprise KPI performance across Safety, Quality, Delivery, Cost, and Cash, ensuring transparency and accountability. • Own the Lean and Continuous Improvement strategy, ensuring consistent deployment across all facilities. • Build CI capability within operations leadership through coaching, training, and structured problem-solving. • Drive waste elimination, variation reduction, and quality improvement using Lean/Six Sigma methodologies. • Serve as the executive operational owner of ERP and manufacturing systems in partnership with IT. • Define operational requirements for ERP, MES, automation, and analytics to enable visibility, scheduling accuracy, and execution discipline. • Lead ERP optimization and adoption, ensuring systems drive behavior, accountability, and performance. • Lead operational due diligence for acquisitions, assessing manufacturing capability, scalability, and integration risk. • Own post-close operational integration, including process harmonization, KPI alignment, and ERP migration readiness. • Ensure rapid performance stabilization and value capture post-acquisition. • Champion a strong safety and quality culture, partnering with EHS and Quality leaders to embed standards and accountability. • Ensure operational excellence is embedded in leadership behaviors, decision-making, and talent development.

• Defines and drives strategic plans for assigned line of business product development and execution in partnership with senior management. • Directs and oversees data research and statistical analyses to solve complex business problems. • Leads end-to-end product research, including initiating research, planning and coordinating resources, conducting research, leading implementation, and overseeing monitoring of product performance with specific focus on assigned line of business. • Prioritizes and governs the product development portfolio to ensure focus on the highest-impact initiatives. • Evaluates and approves research plans and results, ensuring rigor, clarity of insights, and actionability. • Oversees identification and resolution of product issues and directs implementation of recommended solutions and product enhancements. • Directs and synthesizes analyses of competitor pricing, product features, and service levels, and translates insights into product and pricing strategies. • Establishes and oversees product training strategies and ensures effective training delivery across the organization as needed. • Owns leadership and management of the Product Research and Development area for assigned line of business. • Leads and develops team members; establishes training opportunities; and oversees talent development, performance management, compensation decisions, and staff planning. • Builds and advances R&D Managers and Analysts at various levels, ensuring strong succession and capability development. • Leads and owns the decision-making process for evaluating new ideas and pricing positions related to assigned line of business area, ensuring alignment with company financial and strategic goals. • Leads and aligns colleagues and other divisions to implement and operationalize changes in pricing, product models, and product enhancements. • Establishes and ensures full integration with Underwriting, Sales, Claims, and other divisions to drive process improvement and product performance.

• Lead Work Design & Transformation • Own a cohesive innovation agenda aligned to Mercury’s business strategy and People Team roadmap • Collaborate with ELT and business leaders to spot high-leverage opportunities in org structure, governance, decision-making, and execution • Design and execute pilots/experiments (e.g., new team models, async norms, meeting cadences, decision rights) with clear hypotheses, KPIs, and rapid feedback loops • Develop scalable change resources (playbooks, templates, comms kits, enablement sessions) to support leaders in adopting new practices • Track and communicate impact on key outcomes: performance, speed-to-decision, quality, cycle time, and employee experience • Act as People Team and cross-functional sponsor for AI, identifying and prioritizing use cases that boost productivity, decision quality, and experience • Partner with Technology, Risk, Legal, and business teams to safely deploy AI workflows/tools, ensuring compliance, security, and real value • Create practical guidelines, training, prompts, guardrails, and best practices for leaders, managers, and ICs to work effectively with AI • Embed AI into core workflows to free capacity for strategic, high-touch work • Establish and evangelize Mercury’s principles for async, knowledge-led, and high-leverage work (e.g., async-first defaults, documentation standards, decision records over meetings) • Work with People Ops, IT, Comms, and teams to build intuitive knowledge systems and workflows for discovering, contributing to, and reusing institutional knowledge • Promote async collaboration patterns (written updates, shared docs/canvases, threaded decisions) to cut meeting load and handoff friction • Lead end-to-end reviews of critical cross-functional processes: map current state, identify pain points, and design streamlined future states • Advise on role clarity, spans-and-layers, org structures, and archetypes (e.g., pods, squads, CoEs) that enable strategy execution and scalability • Provide thoughtful design input during restructures, capability builds, and growth phases—ensuring changes are intentional, consistent, and well-landed

Role Description bit.bio is seeking a strategic and commercially driven Director of Business Development, Data & Platform Partnerships to lead go-to-market (GTM) strategy and revenue generation for our Data as a Product (DaaP) and platform assets. This role focuses on building high-value strategic partnerships that integrate our causal, deterministic human datasets and platform into the wider predictive biology and AI-enabled drug discovery ecosystem. - Strategic Data, Platform Partnerships & Business Development: - Define and execute the go-to-market (GTM) strategy for our AI-ready data. - Drive high-margin revenue generation through our defined commercial tiers: Data access, custom services, code Partnerships, and infrastructure integration. - Position bit.bio as the foundational infrastructure of the biotechnology sector (including drug discovery, predictive modelling and translational research). - Position bit.bio as a key provider of biologically relevant AI-ready data, by expanding platform asset access and installation across industry partners. - AI/ML, Data & Platform Collaboration Strategy: - Structure and negotiate data and platform agreements that enable partner access to bit.bio’s cell-derived datasets, including transcriptomic, functional and disease-model data generated from scalable engineered iPSC-derived cell systems. - Partner with internal bioinformatics and science teams to translate bit.bio’s discovery platform outputs into high-value engineering-ready data assets to drive advancements in predictive biology and drug development pipelines. - Build strategic relationships with tech orchestrators and cloud platforms to embed bit.bio data directly into advanced machine learning pipelines and biological operating systems. - Drive opportunities to develop joint data products, analytics capabilities, or predictive modelling services in collaboration with external partners. - End-to-End Partnership Deal Leadership: - Own the full lifecycle of complex strategic partnership deals, from opportunity identification and business case development to term sheet negotiation and execution. - Structure scalable collaboration models, managing negotiations involving exclusive platform access fees, IP rights, shared royalties, and multi-year data licensing structures. - Portfolio Strategy: - Contribute to the development of bit.bio’s broader partnership and portfolio strategy across key areas including data products, informatics and software collaborations, platform access, multi-cloud infrastructure and product out-licensing opportunities. - Identify strategic opportunities to expand the value of bit.bio’s cell programming platform through partnerships that connect biological models with digital infrastructure and advanced analytics. - Evaluate emerging technologies and ecosystem partnerships to continuously enhance the commercial potential of bit.bio’s proprietary technology stack and internal capabilities. - Cross-Functional Leadership: - Act as the commercial GTM lead for complex data and platform collaborations, ensuring seamless internal coordination from deal negotiation through to operational implementation. - Represent bit.bio, positioning the company as the gold-standard provider of deterministic ground truth data within data driven drug discovery and the predictive biology markets. Qualifications - Minimum Bachelor’s degree in Life Sciences, Computational Biology, Bioinformatics or a related subject (or equivalent experience). - Significant experience in business development, partnerships or strategic alliances within the life sciences, biotech or AI/ML SaaS sectors. - Strong understanding of AI/ML applications in drug discovery, computational biology or large-scale biological datasets. - Proven track record of structuring and negotiating complex scientific collaborations, data and platform partnerships or licensing agreements. - Demonstrated ability to manage end-to-end deal cycles and build long-term strategic partnerships. - Existing executive-level network of key decision makers within top-tier pharmaceutical companies, TechBio giants and AI-enabled biotechs. - A proven deal sheet demonstrating sustained revenue generation and successful negotiations within the life sciences. - Strong cross-functional skills with the ability to translate scientific innovation into commercial opportunities. Requirements - Proven track record of selling "visionary" or emerging products. - MBA qualification. - Advanced degree in life sciences, computational biology, bioinformatics, or a related field preferred. Benefits - Vibrant and dynamic work environment in an exciting, fast-moving time for biology. - Work with cutting edge technologies and with our world-leading scientific advisory board. - Opportunities to be involved in projects that are key to the success and growth of our young company. - Investment in people, creating opportunities for personal development in an inclusive multi-skilled team. - Encouragement of creativity and open minds for everyone to contribute to the success of the company.