Manulife

Affiliate Manager

• Engage and collaborate with the different functions to discuss training initiatives to align objectives, address needs, and ensure effective program outcomes
• Perform the full business partnering and consultation cycle - needs assessment, analysis, provide learning solutions, monitor and evaluate results and impact
• Provide high-quality, comprehensive and professional L&D advice, support service to assist in developing workforce capability
• Handle small-scale projects and programs and function-wide initiatives , ensuring timely delivery and adherence to objectives
• Support organization-wide scale programs in the organization
• Perform vendor management for courses necessary in the development of the program and be creative to maximize the use of the L&D budget
• Utilize L&D best practice to find ways to improve our L&D approaches and to keep up to date with emerging L&D trends
• Facilitate training sessions, workshops, and seminars both in-person and virtually

Learning Business Partner

Operations

• Conducting process discovery & walkthrough sessions for operational and/or support processes
• Gathering adequate information and data to support project objectives
• Validating information and data for developing project deliverables
• Identifying process and/or performance gaps and opportunities
• Quantifying impact of process gaps and continuous improvement opportunities
• Developing project deliverables such as process maps, policies, processes, procedures documentation, data analysis, charts, management readout
• Supporting business process owners in deploying agreed recommendations
• Measuring and tracking benefits of OE projects
• Building working relationships with project stakeholders
• Cultivating a continuous improvement culture

Operational Excellence Consultant

Artificial Intelligence

• Own and manage the delivery roadmap for the augmentation portfolio across business units, ensuring clear timelines, milestones, and value realization
• Lead solution delivery across both low-code rapid deployments and complex builds, ensuring high standards of accuracy, reliability, and adoption
• Serve as the primary business partner to central Technology teams, aligning augmentation solutions with foundational technology investments
• Oversee operational quality, governance, and release readiness, ensuring all capabilities meet defined acceptance criteria and audit standards
• Build and develop high-performing teams, while engaging stakeholders and communicating outcomes to business leaders and executives
• Drive capacity planning, prioritization, and continuous improvement of the shared augmentation library to maximize long-term value

Director, Intelligent Automation – AI

Salesforce Consultant

• Lead onsite discovery at advisor branches (stakeholder interviews, workflow observation, process mapping) to assess current-state usage and identify gaps
• Develop and present branch-specific recommendations (quick wins and longer-term actions) across process, training, and Salesforce configuration/usage to improve adoption and efficiency
• Facilitate onsite enablement (workshops, role-based coaching, walkthroughs, job aids/knowledge articles) and tailor content to each branch’s needs
• Define engagement outcomes with branch stakeholders (adoption goals, success metrics, follow-up actions) and drive accountability through post-visit check-ins
• Translate onsite insights into clear requirements/user stories, partner with the Continuous Delivery Organization on prioritization, solution options, and release readiness communications
• Partner with internal stakeholders (Field Technology, Operations, Compliance, and Product/Delivery teams) to align engagement plans, communications, and rollout/readiness activities

Field Salesforce Consultant

Sales

• Provide expert guidance and day-to-day virtual support to advisors using Salesforce Financial Services Cloud
• Design, deliver, and continuously improve enablement materials to accelerate advisor proficiency
• Act as the liaison between advisor practices and the Continuous Delivery Organization
• Identify common questions and issues; track themes and recommend processes or platform improvements
• Partner with internal stakeholders to align priorities for releases

Salesforce Support, Enablement Consultant

Business Analyst

• Partner with business stakeholders to understand objectives, challenges, and requirements
• Analyze business processes and workflows to identify inefficiencies and improvement opportunities
• Gather, document, and validate business and technical requirements
• Evaluate existing systems and recommend technology solutions aligned with business needs
• Act as a liaison between business and IT teams, translating requirements into technical solutions
• Support implementation activities including solution design, testing, and user acceptance
• Prioritize initiatives to ensure alignment with business strategy and project goals
• Monitor implemented solutions and recommend enhancements for continuous improvement
• Contribute to successful project delivery by ensuring solutions meet business expectations and technical standards
• Define and monitor SLAs related to intake and customer satisfaction

Senior IT Business Analyst

Data Scientist

• Support the development and enhancement of fraud detection and risk analytics models, including statistical models, anomaly detection, and machine learning approaches
• Perform exploratory data analysis on large and complex datasets to identify fraud patterns, trends, and data quality issues
• Assist in training, evaluating, and monitoring machine learning models to ensure performance and stability in production environments
• Contribute to Generative AI initiatives such as prompt engineering, RAG (Retrieval‑Augmented Generation) pipelines, or document‑understanding use cases under senior guidance
• Help prepare and structure data for LLM‑based applications, including extracting information from complex documents (e.g., multi‑column text, tables)
• Stay curious and continue learning about advancements in machine learning, generative AI, and cloud-based analytics tools
• Partner with senior data scientists, engineers, and business stakeholders to understand requirements and deliver analytical solutions
• Clearly document analyses, models, and assumptions to support knowledge sharing and auditability
• Communicate insights and results to both technical and non‑technical audiences with guidance and support

Associate Data Scientist

Manager

• Proactively handle a dedicated caseload in compliance with specific service level agreements and targeted turnaround times
• Actioning daily administrative tasks which include responding to emails and telephone calls in a timely manner
• Assessing claims based on contractual, medical, and vocational barriers
• Developing positive relationships through frequent collaboration with plan sponsors, plan members, treatment providers and internal partners
• Writing letters to communicate pertinent benefit related information based on analytical reasoning
• Demonstrating resiliency, emotional intelligence and compassion when listening and communicating with plan members

Case Manager

Security Engineer

• Lead and approve security assessments for AI-enabled products, AI-bearing vendors, and third-party technologies
• Act as the escalation point and named reviewer for high-risk and AI-related engagements
• Define and continuously improve AI-focused assessment frameworks, including controls, evidence standards, and scoring models
• Drive automation of assessment processes to improve efficiency, scalability, and turnaround time
• Partner with TPRM, Procurement, Legal, Privacy, and Architecture teams to embed security into vendor selection and lifecycle processes
• Provide expert advice on regulatory, legal, and third-party risk implications during solution design and vendor selection
• Maintain audit-ready documentation and support regulatory compliance (e.g., OSFI B-13)
• Produce risk reporting and insights for cybersecurity leadership
• Monitor emerging AI threats and regulatory developments and integrate them into assessment practices
• Mentor junior team members and support capability development

Lead AI, TPRM Security Assessor

Machine Learning Engineer

• Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with business subject matter expertise.
• Designing and solutioning AI/GenAI architectures for business teams, specifically for plugin-based solutions and custom AI/GenAI application builds.
• Partner with data engineers and architects to design and implement scalable database solutions and data models, organizing both structured and unstructured data.
• Develop processes for data cleansing, enrichment, and validation to improve quality and reliability.
• Collaborate with data scientists to develop and deploy machine learning models in cloud following best practices.
• Monitor, solve, and optimize data pipelines for performance and efficiency.
• Partner with IT and technology teams to put together data architecture designs, integration procedures, and data management workflows.
• Partner with data and platform partners to implement the best practices in managing data and platforms, supporting AI development and deployment at scale.
• Develop automation scripts and tools to ease the deployment, scaling, and management of data systems within the cloud environment.
• Continuously monitor and improve the performance of AI solutions through data analysis and testing.
• Strong communication to help business partners better understand the use of data, ML models, and AI solutions.

Associate Machine Learning Engineer

Analyst

• Proactively develop, deliver, and communicate competitive case design strategies
• Engage with sales team on application pipeline to optimize sales opportunities
• Monitor competitive illustration requests and recommend actions to drive sales
• Stay updated on competitor actions and provide commentary
• Provide in-person illustration and case design support
• Create material for “Competition Corners” and host calls with Distribution team
• Ensure competition is represented accurately during product development process
• Ongoing training & education with emphasis on case design expertise

Competition Analyst

Solutions Engineer

• Collaborating with Product and Technology teams in Fund Administration to craft architectures which drive the customer experience, optimize costs, create efficiencies, and deliver measurable business outcomes
• Applying in-depth knowledge of architecture, software engineering, cloud technologies and data engineering, to define target architectures, patterns and processes
• Designing for both functional and non-functional qualities, including availability, resiliency, security, privacy, etc
• Ability to manage pragmatic modernization and lead conceptual, solution, and component-level architectures and associated artifacts
• Human Centered Design / UX principles
• Developing reference architecture and reference implementation patterns
• Mentoring and growing other technologists within the firm
• Contributing to or leading definition of standards, guidance, and points-of-view that enable engineers to thrive and cross-enterprise thinking to become the norm
• Presenting architecture and innovative ideas to executive leadership for the purposes of alignment and key decision making

Lead Data Solution Architect, Wealth Technology

People Operations

• Leads the silviculture program for Manulife Investment Management Forest Management’s (MFM) Southern Division and Lake States
• Provide expertise and guidance to MFM Operations on current silviculture practice, treatment efficacy, and root-cause problem analysis
• Actively participates in and maintains oversight on research cooperative program meetings, obligations, and work plans
• Utilizes Geographic Information Systems (GIS) and internal forest management systems to analyze forest information data to improve silvicultural systems and performance
• Develop strategies to transfer, deploy, and monitor value-adding silviculture technology with MFM Operations
• Manage MFM’s divisional fertilizer, pesticide, seedling procurement programs in collaboration with MFM Operations
• Project and data management skills are highly desired
• Provide financial analysis and G&Y support to operations
• Actively participate in MFM’s forest resource planning program to provide guidance on benefit analysis of the latest silviculture and forest management technologies
• Advance Manulife Investment Management Timberland (MIMT) business development objectives including property acquisitions, property disposition strategy, timberland investment analysis and decision support tools, and other strategic business objectives
• Support MFM’s conformance with certification requirements and support management systems that enable the advancement of MFM’s forest stewardship commitment
• Continuously improve business procedures and provide training and support to ensure the effective deployment and use of property data and business systems by MFM personnel
• Special projects as requested or needed

Silviculture Analyst

• Perform deep-dive evaluations of at-risk cases, queries and concepts
• Manage initial customer communications
• Identify and prioritize opportunities for pilot programs
• Investigate and support development of efficiency opportunities
• Continuously monitor and identify investigative trends
• Maintain close collaboration with teams for shared goals
• Track and report success measures and key results

Analyst – Fraud, Waste & Abuse

Consultant

• Lead targeted customer outreach to explain updated claim reimbursement controls, drive adoption, and support understanding and compliance.
• Spend approximately 60% of the role on the phone conducting customer outreach related to claim reimbursement controls, education, and support.
• Analyze LTC claims and provider billing patterns to identify potential fraud, waste, and abuse.
• Prepare data extracts, dashboards, and concise analytic summaries to support case development and investigations.
• Monitor and communicate emerging fraud schemes; help design mitigations, controls, and process improvements.
• Partner cross-functionally with investigators, clinical teams, and technology teams to improve fraud operations and detection capabilities.
• Gather and document business needs (requirements, user stories, process flows) for enhancements to fraud detection and case management tools.
• Support performance monitoring and reporting for the LTC FWA program, and contribute to continuous improvement across fraud operations.