Title: Head of UW Transformation Location: USA, Massachusetts, Boston, 200 Berkeley Street Full time Job Description: The Head of Underwriting Innovation will lead the strategic modernization of underwriting operations, aligning with enterprise-wide manufacturing and insurance goals. These transformation initiatives will be powered by advanced AI technologies, including GenAI, predictive analytics, and automation platforms. The successful candidate must be comfortable working with AI-driven solutions and championing their adoption across underwriting workflows. This role handles driving innovation, digitization, and operational excellence to enhance risk selection, improve efficiency, and support scalable growth. This position works closely with cross-functional teams across Operations, Technology, Product, and Distribution to ensure seamless execution of transformation efforts. The role leads a high-impact team of R&D underwriters, actuaries, and subject matter experts, focused on designing and implementing next-generation underwriting capabilities. The Head of Underwriting Innovation must have a strong understanding of the life insurance marketplace and the regulatory environment. This ability is essential for ensuring that transformation initiatives are both market-relevant and fully compliant with industry standards. Position Responsibilities: Strategic Leadership - Develop and execute a comprehensive underwriting transformation roadmap. - Align underwriting initiatives with broader manufacturing and product development strategies. - Define and monitor key performance indicators to assess progress and impact. Innovation & Technology Integration - Lead the adoption of advanced technologies including GenAI, predictive analytics, and automation platforms. - Oversee implementation of triage models, auto-assessment tools, and digital application enhancements. Operational Optimization - Drive initiatives to reduce manual underwriting, optimize flow case handling, and improve capacity. - Deliver measurable improvements in underwriting cycle time, cost savings, and placement rates. Team Leadership - Manage and mentor a multidisciplinary team of R&D underwriters, actuaries, and subject matter experts. - Foster a culture of innovation, collaboration, and continuous learning. - Ensure effective knowledge sharing and capability development across the team. Cross-Functional Collaboration - Partner with Pricing, Actuarial, Technology, Distribution, and Risk teams to ensure cohesive execution. - Lead governance forums such as the UW Transformation SteerCo and cross-functional workstreams. Stakeholder Engagement - Serve as the primary liaison with reinsurers, vendors, and internal stakeholders. - Ensure transparency, accountability, and alignment across all transformation efforts. Required Qualifications: - 10+ years of experience in Life Insurance manufacturing leadership positions. - Proven track record in leading large-scale transformation initiatives. - Demonstrated experience implementing AI-based initiatives within underwriting or insurance operations, with a high level of proficiency in leveraging artificial intelligence technologies to drive process improvements and innovation. - Expertise in data-driven underwriting, automation, and emerging AI technologies. Preferred Qualifications: - Strong strategic thinking, execution, and change management skills. - Excellent communication and stakeholder engagement capabilities. - Experience leading cross-functional technical teams. - In-depth knowledge of the life insurance marketplace, including key distribution channels, competitive dynamics, and emerging trends. - Strong familiarity with regulatory frameworks and compliance requirements that pertain to underwriting and insurance operations. When you join our team: - We’ll empower you to learn and grow the career you want. - We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words. - As part of our global team, we’ll support you in shaping the future you want to see. If you are applying to this role in Massachusetts, please note the salary range is $156,700- $290,900USD. Additionally, employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The role being advertised is an existing vacancy. About Manulife and John Hancock Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. Manulife is an Equal Opportunity Employer At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law. Referenced Salary Location Boston, Massachusetts Working Arrangement Hybrid Salary range is expected to be between $156,700.00 USD - $290,900.00 USD Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. Manulife/John Hancock offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, and we offer the full range of statutory leaves of absence.

Title: Senior Data Scientist Location:Cambridge, Boston, MA Work Type: Hybrid, Full Time Job ID: R0176617 Job Description: By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description Pursuant to Section 20 C.F.R. 656.10, you are hereby notified that an application for Alien Employment Certification will be filed by Takeda Development Center Americas, Inc. for the following job opportunity: POSITION: Senior Data Scientist POSITION DESCRIPTION: Takeda Development Center Americas, Inc. is seeking a Senior Data Scientist with the following duties: collaborate with a diverse set of users and partners across multiple functions to translate unstructured, complex business problems into appropriate data, modelling and analytical solutions; lead data science projects through the data, analytics & machine learning lifecycle; clearly and objectively communicate results, as well as their associated limitations; apply and maintain methods, techniques and developments in analytics and data science; mentor and support other data scientists across multiple projects to drive the development of data science as a capability; develop and review working practices to ensure that data science work is delivered to robust quality standards. Up to 25% domestic travel required for hybrid requirements for onsite meetings and department events. Up to 75% remote work allowed. The estimated salary range reflects an anticipated range for this position. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location. U.S. based employees may be eligible for short-term and/or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation. REQUIREMENTS: Master’s degree in Data Science, Analytics, Business Analytics, Computer Science, Engineering, or related field plus 4 years of related experience. Prior experience must include: 4 years of data and analytics experience in life science, pharma, biotech, technology companies or relevant regulated industries; collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions; perform end-to-end data processing including extraction, cleaning, transformation, and analysis using SQL queries across multiple database systems; develop advanced analytical solutions leveraging Python, R, and other programming languages to support data-driven decision making; implement version control practices using Git to manage code repositories and leverage cloud computing infrastructure like AWS; design and implement data visualization solutions using tools like Tableau, Power BI, or similar platforms and enable self-service analytics; present data-driven insights and recommendations to senior leadership and key stakeholders. Full time. $162,000 to $260,000 per year. job #R0176617. Any individual may provide documentary evidence bearing on this application, with information on available workers and information on wages and working conditions, to the Certifying Officer, U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue, NW, Room N-5311, Washington, DC 20210.

• Design, develop, and implement machine learning and deep learning models for various applications, such as customer churn prediction, recommendation systems, anomaly detection, and natural language processing. • Leverage Python programming and its relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn) to build and iterate on models. • Explore and experiment with cutting-edge techniques in generative AI to create innovative solutions for government and citizen engagement. • Collaborate with product managers, engineers, and stakeholders to understand business requirements and translate them into data-driven solutions. • Collaborate with software and data engineers to ensure seamless integration of models into Granicus products and platforms. • Perform data analysis, cleansing, and feature engineering to prepare high-quality data for model training. • Develop and maintain robust pipelines for data ingestion, transformation, and model training. • Continuously monitor and evaluate model performance, identify areas for improvement, and iterate on models. • Communicate complex technical concepts to stakeholders in a clear and concise manner. • Contribute to the development of best practices, tools, and frameworks for data science and machine learning initiatives. • Stay up to date on the latest advancements in data science and AI research.

• Work on a mix of client projects and internal research initiatives. • Solve real-world problems and help build meaningful products. • Contribute to groundbreaking AI alignment research. • Build data-driven solutions, leveraging machine learning models. • Propose and pursue high-impact research projects aligned with AE Studio's mission.