• Hold the team accountable to performance and execution of business plans for each asset. • Monitor and improve against performance benchmarks (NOI, IRR, occupancy, rent growth). • Evaluate portfolio-level risks and opportunities and recommend adjustments. • Ensure execution against approved investment strategy and hold/sell decisions. • Monitor financial performance of each property (P&L, cash flow, variance to budget). • Set the strategic vision and direction for asset management, property management, and construction management. • Build, mentor, and develop the asset management team, including hiring, performance management, and succession planning. • Conduct periodic site visits and asset reviews. • Oversee and direct leasing strategy and execution across the portfolio. • Prepare and present quarterly asset and portfolio performance reports as needed.

• Serve as the executive asset owner for Telix’s CD66-targeted hematology-oncology programs, with full accountability for end-to-end asset strategy, progression, and value realization through clinical development and toward registration. • Define and continuously evolve the integrated asset strategy, including development approach, indication prioritization, target product profile, and long-range positioning aligned to enterprise portfolio priorities. • Own the integrated business case, including financial assumptions, risk-adjusted scenarios, and value inflection points, and lead executive-level recommendations on investment, prioritization, and development pathways. • Act as the primary accountable leader in executive governance forums (e.g., GET), presenting strategic options, trade-offs, and recommendations while driving enterprise decision-making and alignment. • Operate as a peer to functional Vice Presidents, leading cross-functional alignment across Clinical, Regulatory, Manufacturing, Commercial, Finance, and Quality to ensure execution of a unified and optimized development strategy. • Drive enterprise-level trade-off decisions, balancing scientific, clinical, regulatory, operational, and financial considerations to maximize probability of success and long-term asset value. • Maintain accountability for program performance, including milestone achievement, risk profile, timeline integrity, and overall readiness for key development and regulatory inflection points. • Lead identification, evaluation, and mitigation of strategic and operational risks, ensuring proactive management and clear escalation of critical issues to executive leadership. • Provide strategic financial oversight of the program, including investment planning, scenario modeling, and alignment of resource allocation with development priorities and enterprise objectives. • Ensure consistent executive-level visibility into program status, risks, opportunities, and strategic options through structured governance and performance reviews. • Influence broader portfolio strategy and lifecycle planning, including evaluation of expansion opportunities and implications for future hematology-oncology pipeline development. • Drive a high-performance cross-functional operating model, holding stakeholders accountable for delivering against shared objectives while enabling speed, clarity, and disciplined decision-making.

• Provide overall leadership of enterprise transformation working with executive initiative owners to ensure initiatives remain on track: proactively identify all obstacles and risks, support initiative owners in overcoming challenges, and ensure initiatives are appropriately resourced in collaboration with the CEO and CFO • Lead project management of the entire change program including leading the transformation office team to ensure necessary tracking activities (e.g., dashboards, scheduling meetings) and coordinating the large number of stakeholders involved (e.g., partners, relevant company executives, financial sponsor/board team members) • Quantify value of initiatives and ensure initiatives deliver expected value; align key metrics to measure performance of initiatives and establish accountability for results • Provide regular reporting to the ELT on overall status of transformation program; coordinate development of periodic steering committee, Monthly Business Review, and quarterly Board update materials • At times, take on temporary leadership roles across 1–2 initiatives while the company recruits for a long-term owner, including conducting market research, creating analytical business cases, and updating the ELT on key findings

Role Description The Senior Big Data Engineer is responsible for designing, building, and delivering highly scalable big data and ETL solutions across distributed environments. This role supports projects at various and unanticipated client worksites throughout the United States, with headquarters based in Chicago, IL. The engineer works closely with cross-functional teams to develop, test, and deploy data solutions that meet business and operational needs, leveraging modern big data frameworks, cloud platforms, and agile development practices. Telecommuting is permitted. Job Responsibilities - Design and implement highly scalable ETL applications using Hadoop and Big Data ecosystems. - Develop new scripts, tools, and methodologies to streamline and automate ETL workflows. - Deliver big data solutions using Spark, Python, Scala, SQL, and Hive. - Design and create use cases and scenarios for functional, integration, and system testing. - Collaborate closely with Data Science, QA, Operations, and other teams to meet aggressive deadlines. - Participate in daily Agile/Scrum meetings and conduct code reviews. - Coordinate with cross-functional operational teams to manage end-to-end data delivery. - Write efficient, reusable, and well-documented code. - Prepare technical design documentation for implemented solutions. - Identify and resolve data pipeline issues and provide timely solutions for incorrect or undesired system behavior using ILD solutions. - Work within complex technical environments that include: - ETL Spark applications in PySpark and Scala - Spark architecture, data frames, and performance tuning - Hadoop ecosystem tools such as Flume, MapReduce, and HDFS - Relational databases (Oracle, PostgreSQL) - Big Data querying tools (Hive, Pig, Impala) - Databricks, distributed computing principles, and Lambda Architecture - Cloud platforms such as Microsoft Azure Qualifications - Experience in designing and implementing highly scalable ETL applications using Hadoop and Big Data ecosystems. - Proficiency in developing new scripts, tools, and methodologies to streamline and automate ETL workflows. - Ability to deliver big data solutions using Spark, Python, Scala, SQL, and Hive. - Experience in designing and creating use cases and scenarios for functional, integration, and system testing. - Strong collaboration skills with Data Science, QA, Operations, and other teams to meet aggressive deadlines. - Participation in daily Agile/Scrum meetings and conducting code reviews. - Coordination with cross-functional operational teams to manage end-to-end data delivery. - Capability to write efficient, reusable, and well-documented code. - Experience in preparing technical design documentation for implemented solutions. - Ability to identify and resolve data pipeline issues and provide timely solutions for incorrect or undesired system behavior using ILD solutions. - Experience working within complex technical environments. Benefits - Comprehensive package of benefits including paid time off. - Medical/dental/vision insurance. - 401(k) to eligible employees. - Bonus pay eligibility. Location This position can be located in the following area(s): US Remote. Compensation The salary range for this role is $202,000 USD to $210,000 USD. This range reflects the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range.