We are a leading financial services provider committed to making decisions easier and lives better for our customers and colleagues around the world. From our environmental initiatives to our community investments, we lead with values throughout our business. To help us stand out, we help you step up, because when colleagues are healthy, respected and meaningfully challenged, we all thrive. Discover how you can grow your career, make impact and drive real change with our Winning Team today. 

Hybrid

Job Description

The opportunity

We are seeking a dynamic Director/Architect to lead our Generative AI services within the Asia Advanced Analytics team at Manulife. As a key driver of our Generative AI initiatives, you will spearhead the development of innovative solutions. Your focus will be on harnessing Generative AI technologies like prompt engineering, retrieval augmented generation, function calling and agentic approaches and scaling them across Asia. These initiatives will empower us to derive actionable insights from data, optimize operations in contact center, underwriting and claims and enhance our sales, products and services to meet customer needs effectively. Your leadership will be instrumental in propelling our Customer Experience, Personalization, Operation transformation, and Digital initiatives in alignment with our established roadmap.

Responsibilities

• Working with a team of Data Scientists and ML Engineers to build and support Gen AI services in Asia. Talent management, coaching and building a strong team.

• Collaborate with Data engineers and IT Subject Matter Experts (SMEs) to gain a deep understanding of source data and harness large datasets to prepare and optimize data specifically for the development of Generative AI-based solutions.

• Develop and implement cutting-edge machine learning models to tackle complex business challenges, utilizing a diverse range of algorithms and techniques, with a primary emphasis on AI tech patterns like RAG and Multi-Agent approach.

• Work closely with partners to gather requirements, design data models, and deploy customized solutions that are aligned with company’s Generative AI tech patterns and architecture.

• Establish standardized processes, techniques, and tools as best practices for other data scientists, with a specific focus on Generative AI tech patterns and architecture.

• Drive the adoption of insights from Generative AI solutions by influencing and collaborating with key stakeholders across the organization.

• Innovate and explore creative methods to source and leverage structured and unstructured data specifically for Generative AI solutions using Open AI services.

• Stay abreast of industry trends and advancements in AI/ML, with a dedicated focus on Generative AI tech patterns and architecture, to continuously enhance our Generative AI capabilities.

We are seeking a candidate who brings:

• An advanced degree in Data Science, Computer Science, Mathematics, Engineering, Statistics, or another quantitative field, complemented by significant professional experience.

• Proven expertise in developing and scaling Generative AI solutions, along with a track record of solving complex business challenges through data science, with at least 8 years of experience in these areas.

• Proficiency in data pipeline and machine learning production architecture especially with Azure services, with advanced skills in programming languages such as Python, R, and SQL and relevant prompt engineering packages like LangChain, LangGraph, AutoGen, Llamaindex as well as a deep understanding of agile solution development principles.

• Hands-on experience with data frameworks and cloud platforms such as Azure, Databricks, and Spark, demonstrating a focus on Generative AI solution implementation and scaling.

• Outstanding communication skills, including the ability to effectively communicate complex data science concepts to technical and non-technical stakeholders, particularly within the context of RAG chatbot development.

• A solid track record of successfully deploying Generative AI solutions into production, delivering measurable business value.

• Previous experience in insurance analytics, with a specific emphasis on Generative AI tech patterns and architecture using Azure and OpenAI services, is highly desirable.

• Demonstrated experience in teamwork, showcasing the ability to lead and mentor a team of data scientists and collaborate effectively with cross-functional teams.

What motivates you?

• You obsess about customers, listen, engage and act for their benefit.

• You think big, with curiosity to discover ways to use your agile approach and enable business outcomes.

• You thrive in teams and enjoy getting things done together.

• You take ownership and build solutions, focusing on what matters.

• You do what is right, work with integrity and speak up.

• You share your humanity, helping us build a diverse and inclusive work environment for everyone.

What can we offer you?

• A competitive salary and benefits packages.

• A growth trajectory that extends upward and outward, encouraging you to follow your passions and learn new skills.

• A focus on growing your career path with us.

• Flexible work policies and strong work-life balance.

• Professional development and leadership opportunities.

Our commitment to you

• Values-first culture: We lead with our Values every day and bring them to life together. 

• Boundless opportunity: We create opportunities to learn and grow at every stage of your career. 

• Continuous innovation: We invite you to help redefine the future of financial services. 

• Delivering the promise of Diversity, Equity and Inclusion:  We foster an inclusive workplace where everyone thrives. 

• Championing Corporate Citizenship: We build a business that benefits all partners and has a positive social and environmental impact. 

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. With our global headquarters in Toronto, Canada, we operate as Manulife across our offices in Asia, Canada, and Europe, and primarily as John Hancock in the United States. We provide financial advice, insurance, and wealth and asset management solutions for individuals, groups and institutions. At the end of 2022, we had more than 40,000 employees, over 116,000 agents, and thousands of distribution partners, serving over 34 million customers. At the end of 2022, we had $1.3 trillion (US$1.0 trillion) in assets under management and administration, including total invested assets of $0.4 trillion (US $0.3 trillion), and segregated funds net assets of $0.3 trillion (US$0.3 trillion). We trade as ‘MFC’ on the Toronto, New York, and the Philippine stock exchanges, and under ‘945’ in Hong Kong.

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. 

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact [email protected].