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Data & Analytics Product Lead

Pay
USD 90,160–167,440/year · BaseAnnual period assumed. Location-specific pay — pay source
Hybrid Base salary range is expected to be between $90,160.00 USD - $167,440.00 USD Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual base salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location. 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.
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Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization
Must already have the right to workRight to Work

What you’ll work on

Full posting
  • Serve as business product owner for the data engineering squad, setting priorities and delivery plans

  • Set standards for governed semantic models, reusable data assets and performance

  • Translate analytical needs into specifications, acceptance criteria and test plans

  • Establish data quality, lineage, metadata and KPI standards across data sources

  • Set standards for certified datasets, workspaces and governed self-service BI use

From the employer’s posting
Serve as business product owner for the data engineering squad, shaping requirements, priorities, and delivery plans
Shape standards for governed semantic models, reusable data assets, structures, relationships, and performance
Translate analytical needs into specifications, acceptance criteria, and test plans
Establish standards for data quality, reconciliation, lineage, metadata, issue management, and shared KPIs
Set standards for certified datasets, workspaces, access, and governed self-service use

What you’ll bring

All qualifications

Core experience

  • 3–5 years of experience in business intelligence, data management, data engineering, or a related field
  • Proficiency in SQL, data transformation or pipeline tools, and relational, dimensional, or semantic modeling
  • Ability to translate business priorities into clear technical requirements and practical delivery plans
  • Demonstrated ability to influence stakeholders, facilitate decisions, and lead cross-functional work without formal authority

Preferred experience

  • Experience in financial services, retirement, or investment management within a global or matrixed organization
  • Experience with cloud data platforms and modern architectures such as Databricks, Azure, or lakehouse environments
  • Familiarity with Python, Spark, APIs, automation, data governance, and agile or SAFe delivery
Qualification wording
3–5 years of experience in business intelligence, data management, data engineering, or a related field
Proficiency in SQL, data transformation or pipeline tools, and relational, dimensional, or semantic modeling
Ability to translate business priorities into clear technical requirements and practical delivery plans
Demonstrated ability to influence stakeholders, facilitate decisions, and lead cross-functional work without formal authority
Experience in financial services, retirement, or investment management within a global or matrixed organization
Experience with cloud data platforms and modern architectures such as Databricks, Azure, or lakehouse environments
Familiarity with Python, Spark, APIs, automation, data governance, and agile or SAFe delivery

About Manulife Financial

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.

In the employer’s words · Read in context

Apply at Manulife Financial

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 13, 20261 day ago
Recorded sightings
1

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$90.2K–$167K against $105K–$170K, the middle half of what similar US postings state.

From 113 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 6 and day 52.

At Manulife Financial, jobs usually come down by about day 27.

From 1,782 similar postings that came down, and 179 of Manulife Financial’s. Coming down is not always a hire.

Manulife Financial is hiring

36 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down quickly
  • 8% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Azure
  • Databricks
  • Spark
Where the posting names them
- Experience with cloud data platforms and modern architectures such as Databricks, Azure, or lakehouse environments - Familiarity with Python, Spark, APIs, automation, data governance, and agile or SAFe delivery When you join our team:
- 3–5 years of experience in business intelligence, data management, data engineering, or a related field - Proficiency in SQL, data transformation or pipeline tools, and relational, dimensional, or semantic modeling - Ability to translate business priorities into clear technical requirements and practical delivery plans
- Experience in financial services, retirement, or investment management within a global or matrixed organization - Experience with cloud data platforms and modern architectures such as Databricks, Azure, or lakehouse environments - Familiarity with Python, Spark, APIs, automation, data governance, and agile or SAFe delivery

Your next step

Complete your application on manulife.wd3.myworkdayjobs.com. The employer’s form will show what is required.

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Demand for Data Governance roles

New Data Governance postings at the employers we follow are up 170% over the last 6 weeks compared with the 6 before.

Weekly new Data Governance postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 74, the most 430, and the latest week had 428.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Governance, by the work the posting describes.

Data governance staff keep a company's data accurate, documented and used within the rules. They agree what key fields mean, set up quality checks, track who owns each dataset and look after master data.

Postings ask for SQL, a governance tool such as Collibra or Informatica, knowledge of privacy and data rules, and a lot of work with other teams.

A data engineer builds the systems that move data; governance staff set and check the standards that data has to meet.

Job description

View original posting ↗

Reporting to the BI and Analytics lead, the Data & Analytics Product Lead helps shape and execute the analytical data strategy for the North America Affiliated Wealth business. This senior individual contributor establishes standards and coordinates business and technology partners to deliver reliable, scalable data capabilities.


Position Responsibilities


Data Modeling & Analytics Infrastructure

  • Shape standards for governed semantic models, reusable data assets, structures, relationships, and performance
  • Guide transformation logic and architecture to meet reporting and analytics needs
  • Advance pipeline and ETL reliability, scalability, and maintainability

Data Product & Engineering Delivery

  • Serve as business product owner for the data engineering squad, shaping requirements, priorities, and delivery plans
  • Translate analytical needs into specifications, acceptance criteria, and test plans
  • Coordinate solution design, validation, and releases with engineers and architects

Data Source Management & Governance

  • Coordinate priority data sources across data owners, vendors, and subject matter experts
  • Establish standards for data quality, reconciliation, lineage, metadata, issue management, and shared KPIs
  • Ensure current documentation of source mappings, transformations, dependencies, controls, model definitions, and ownership

Self-Service BI & Analytics Enablement

  • Set standards for certified datasets, workspaces, access, and governed self-service use
  • Drive adoption through reusable tools, guidance, training, and support
  • Assess automation, AI, and controlled end-user capabilities aligned with business priorities

Required Qualifications

  • 3–5 years of experience in business intelligence, data management, data engineering, or a related field
  • Proficiency in SQL, data transformation or pipeline tools, and relational, dimensional, or semantic modeling
  • Ability to translate business priorities into clear technical requirements and practical delivery plans
  • Demonstrated ability to influence stakeholders, facilitate decisions, and lead cross-functional work without formal authority
  • Strong judgment, communication, documentation, and attention to detail, with the ability to manage competing priorities

Preferred Qualifications

  • Experience in financial services, retirement, or investment management within a global or matrixed organization
  • Experience with cloud data platforms and modern architectures such as Databricks, Azure, or lakehouse environments
  • Familiarity with Python, Spark, APIs, automation, data governance, and agile or SAFe delivery

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.

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. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

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 hr@manulife.com.

Referenced Salary Location

Boston, Massachusetts

Working Arrangement

Hybrid

Base salary range is expected to be between

$90,160.00 USD - $167,440.00 USD

Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual base salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location.


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.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.

Know Your Rights I Family & Medical Leave I Employee Polygraph Protection I Right to Work I E-Verify

Company: John Hancock Life Insurance Company (U.S.A.)
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Location & working pattern

Boston, Massachusetts

Working Arrangement Hybrid Base salary range is expected to be between $90,160.00 USD - $167,440.00 USD Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual base salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location.
Work authorization
We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement. Know Your Rights I Family & Medical Leave I Employee Polygraph Protection I Right to Work I E-Verify Company: John Hancock Life Insurance Company (U.S.A.)

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