Junlin Jiang
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Director of AI & Advanced Analytics, Manulife | John Hancock
AI & Data Science Leader | GenAI • NLP • Data • Healthcare • Insurance • Strategic AI leader with a Ph.D. in Chemistry and an M.S. in Computer Science, bringing 10+ years of hands-on AI and Data Science experience and 8+ years leading end-to-end AI programs. • Proven track record of driving AI innovation in the Healthcare domain for 6+ years, as well as the Insurance/Financial industry for 2+ years, delivering scalable, high-impact solutions. • Experienced in building and managing high-performing AI, Data Science, and Engineering teams while shaping technical vision and execution. • Recognized for thought leadership in designing and implementing AI roadmaps that transform business processes, accelerate adoption of AI & GenAI, and unlock measurable value through fostering reliable partnerships with business, data, and technology teams.
University of Florida
Master’s Degree, Computer Science
January 1, 2014 – January 1, 2016
University of Florida
Ph.D., Organic Chemistry/Polymer Science
January 1, 2011 – January 1, 2016
East China Normal University
Bachelor of Science
January 1, 2006 – January 1, 2010
John Hancock
Senior Director of AI & Advanced Analytics
March 1, 2026 – Present
John Hancock
Director of AI & Advanced Analytics
September 1, 2023 – February 1, 2026
Verana Health
Director, Quantitative Sciences
August 1, 2022 – August 1, 2023
Greater Boston
Verana Health
Senior Manager, Quantitative Sciences
January 1, 2022 – August 1, 2022
Greater Boston
Wolters Kluwer Health
Senior Data Scientist｜Manager
February 1, 2021 – January 1, 2022
Greater Boston Area
Wolters Kluwer Health
Senior Data Scientist
November 1, 2019 – February 1, 2021
Greater Boston Area
C2Sense, Inc.
Senior Machine Learning Engineer
December 1, 2017 – November 1, 2019
Greater Boston Area
Alibaba Group
"Global Dreamer" Training Camp
July 1, 2015 – August 1, 2015
Hangzhou, Zhejiang, China
TD Energy
Data Analyst
March 1, 2010 – August 1, 2011
Shanghai, China
Data Mining of Amazon Website (Python)
August 1, 2016 – December 1, 2016
• Extract large datasets from Amazon webpages; • Perform quantitative analysis of product sales trends to recommend pricing decisions; • Analyze customer behavior to identify trends and unmet needs using machine learning alogrithms ; • Develop statistical models to forecast inventory and procurement cycles.
P2P file transfer application (Java)
February 1, 2016 – April 1, 2016
• Developed a peer-to-peer file-sharing program. Each peer runs on a different computer. • After downloading chunks from the server, peers share and receive chunks among each other.
Implementation of Shortest Path Algorithm using Hardware and Software
August 1, 2014 – December 1, 2014
• Implemented hardware architecture for Dijkstra algorithm using Nallatech Platform and compared computing performances with Java implemented programs.
Wavelength Control of Photoinduced Charge Transfer in a π-Conjugated Molecular Photodiode
January 1, 2012 – January 1, 2014
• A series of tetra-thiophene and oligo-phenyleneethynylene (PE) based diblock oligomers were synthesized and probed for wavelength selective excitation for the purpose of creating a long-lived charge transfer state using selective excitation; • The efficiency of charge transfer significantly diminished with increasing PE length due to competition with fluorescence and intersystem crossing; • The diblock oligomers demonstrated potentials in making molecular-scale electronics.
Polymer Based Chromophore-Catalyst Assembly for Solar Energy Generation
January 1, 2011 – January 1, 2014
• A polystyrene-based chromophore-catalyst assembly has been prepared and applied at a metal oxide photoanode. It is the first reported polymer assembly; for artificial photosynthesis applications; • The photophysical, electrochemical properties and energy/electron transfer processes of this polymer assembly were investigated; • The polymer was immobilized onto mesoporous semiconductor substrates (TiO2 or SnO2/TiO2) by “Layer-by-Layer” (LbL) method to build photo anode and DSPEC devices; • Polymer assembly deposited photoanode demonstrated to be capable of organic alcohols and water harvesting and converting lights energy into fuel by oxidizing organic
Building Your Visibility Online as a Remote Leader
June 24, 2026 – Present
Docker for Data Scientists
June 24, 2026 – Present
Speaking Confidently and Effectively
June 24, 2026 – Present
Be the Manager People Won't Leave
June 24, 2026 – Present
Scrum: The Basics
June 24, 2026 – Present
The Data Science of Healthcare, Medicine, and Public Health, with Barton Poulson
June 24, 2026 – Present
Product Management: Building a Product Roadmap
June 24, 2026 – Present
Reid Hoffman and Chris Yeh on Blitzscaling
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career progression shows a strong drive for leadership and innovation within the AI/Data Science domain. Their diverse project experience, ranging from academic research in chemistry/polymer science to practical applications in finance and healthcare, indicates adaptability and a broad intellectual curiosity. The target role of 'Data Analyst' might be a step down from their recent leadership positions (Director/Senior Director of AI & Advanced Analytics), which could impact cultural fit if the role does not offer sufficient scope for strategic input and advanced analytics. However, their early career as a Data Analyst and a project on 'Data Mining of Amazon Website' show foundational alignment. The breadth of skills and project types suggests a candidate who can thrive in dynamic, data-driven environments.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight strong leadership, strategic thinking, and cross-functional collaboration skills. They have fostered innovation, managed teams, and streamlined processes, indicating a good operational fit for roles requiring both technical depth and managerial oversight. Certifications in 'Building Your Visibility Online as a Remote Leader', 'Speaking Confidently and Effectively', and 'Be the Manager People Won't Leave' further support strong soft skills and leadership potential.