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Data Organization Jobs in Massachusetts (NOW HIRING)

Our Data organization creates and manages a portfolio of trusted, reusable, and governed data products that deliver measurable business value and drive profitable growth for the company. We operate ...

You will facilitate cross-organizational collaboration, orchestrate efforts across multiple teams, and advise management on complex technical and strategic decisions. Responsibilities: * Lead the ...

Our Data organization creates and manages a portfolio of trusted, reusable, and governed data products that deliver measurable business value and drive profitable growth for the company. We operate ...

Bench Scientist

Andover, MA

$35.75 - $44.75/hr

Strong data organization and analysis skills. Strong communication skills. Additional Information All your information will be kept confidential according to EEO guidelines.

Bench Scientist

Andover, MA · On-site

$35.75 - $44.75/hr

Collaborative skills and effective partnering skills in a matrix-environment is necessary Strong data organization and analysis skills Qualifications Education (any of the below or similarly related ...

Senior Lead Data Scientist

Boston, MA · On-site

$204K - $226K/yr

You will facilitate cross-organizational collaboration, orchestrate efforts across multiple teams, and advise management on complex technical and strategic decisions. Responsibilities: * Lead the ...

Contribute to an organization wide data ontology and class structure for perception models * Collaborate closely with cross-functional teams of software engineers, machine learning scientists ...

The Data Systems Analyst serves as an independent quality function within the Data Engineering organization, partnering closely with business stakeholders, data engineers, data architects, product ...

If you've spent your career turning data organizations from cost centers into growth engines - and you want to do it at the scale of an industry - this is the role. What You'll Own Product Vision ...

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Showing results 1-20

Data Organization information

See Massachusetts salary details

$11

$42

$93

How much do data organization jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for data organization in Massachusetts is $42.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.02 and $66.53 per hour, depending on experience, location, and employer.

What is a data organization?

A Data Organization job involves structuring, managing, and maintaining data to ensure its accuracy, accessibility, and usability. Professionals in this role work with databases, metadata, and data governance practices to optimize information flow and retrieval. They may also clean, categorize, and integrate data from various sources to support business operations and decision-making. Strong analytical skills, attention to detail, and proficiency with data management tools are essential for success in this role.

What are some typical responsibilities I can expect in a data organization position?

In a Data Organization role, you will typically be responsible for structuring, maintaining, and ensuring the accuracy and integrity of large datasets. This often includes tasks such as data cleansing, standardizing formats, updating records, and organizing information to support business analysis or reporting needs. You may also work closely with cross-functional teams, providing data support, troubleshooting data issues, and helping to implement data governance policies. These responsibilities are essential to keep organizational data reliable and easily accessible for those who need it.

What are the key skills and qualifications needed to thrive in a data organization position, and why are they important?

To thrive in a Data Organization role, you need strong analytical skills, attention to detail, and experience with data management practices, typically supported by a degree in information science, computer science, or a related field. Familiarity with database software such as SQL, data visualization tools, and proficiency in Excel or data management platforms are commonly required, while certifications like Certified Data Management Professional (CDMP) can be advantageous. Excellent organizational, problem-solving, and communication skills help facilitate effective collaboration across teams and ensure data quality. These skills are crucial for maintaining accurate, accessible, and secure data, directly impacting business decision-making and operational efficiency.

What are the most commonly searched types of Data Organization jobs in Massachusetts?

The most popular types of Data Organization jobs in Massachusetts are:

What are popular job titles related to Data Organization jobs in Massachusetts?

For Data Organization jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Data Organization jobs in Massachusetts look for?

The top searched job categories for Data Organization jobs in Massachusetts are:

Infographic showing various Data Organization job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $88,398 per year, or $42.5 per hour.

Data Product Manager

Boston, MA • Hybrid

Hiscox
Insurance Services • 1 - 5K employees

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Job description

Job Type:

Permanent

Build a brilliant future with Hiscox

Product Manager, Core Change & Steady State

Position: Data Product Manager

Reports To: Director of Product & Delivery, Data Organization

Location: Atlanta, GA; Boston, MA; NYC Manhattan; West Hartford, CT (Hybrid)

The Team:

Our Data organization creates and manages a portfolio of trusted, reusable, and governed data products that deliver measurable business value and drive profitable growth for the company. We operate an agile, product-based delivery model with cross-functional scrum teams aligned to business objectives and key results. We are in the midst of a deliberate shift toward an AI-first operating model - embedding AI, GenAI, and intelligent automation directly into how we discover, model, build, test, monitor, and support data products, so that every core and steady-state capability we own becomes faster to deliver, easier to trust, and cheaper to run over time.

About the Role:

We are looking for a Product Manager to own the core change and steady-state products that form the backbone of our Data organization - the foundational data platforms, conformed and curated data layers, business-as-usual (BAU) feeds, and the recurring enhancements that keep our data ecosystem reliable, governed, and ready for the next wave of AI-enabled use cases.

This is a hands-on, technically grounded product role for someone who has lived inside a Data organization: someone fluent in data frameworks and methodologies, comfortable navigating a modern data lakehouse and cloud data platform, and confident enough with SQL and data modeling to have real conversations with engineers about how conformed and curated data structures should evolve. You will balance the steady drumbeat of core changes and BAU support against the organization's push toward AI-first ways of working, ensuring that stability, governance, and continuous modernization move forward together rather than competing for attention.

You will own the roadmap, backlog, and outcomes for this product area, partnering closely with delivery leads, data engineering, analytics engineering, architecture, and business stakeholders across the US value chain (marketing, operations, underwriting, claims, distribution, and finance) to ensure our data products keep pace with evolving business needs.

What You'll Do:

Core Change & Steady-State Product Ownership

  • Own the product vision, roadmap, and backlog for core/foundational data platforms, conformed and curated data layers, BAU feeds, and recurring change requests.

  • Balance new demand (core change) against the health of steady-state operations - data quality, platform stability, and reduction of technical debt.

  • Continuously evaluate and evolve conformed and curated data models so they stay aligned to shifting business use cases, reporting needs, and downstream data product outcomes.

  • Champion the organization's move to an AI-first operating model by identifying opportunities to embed AI and automation into data discovery, modeling, quality monitoring, and support workflows for core and steady-state products.

  • Apply data frameworks and methodologies (e.g., medallion/bronze-silver-gold architecture, data mesh or domain-oriented principles, data governance and stewardship standards) to guide sound product and design decisions.

  • Own product intake, prioritization, success measures, and monitoring to ensure Data Products remain relevant, achieving business outcomes/value as well as defined performance and functional service levels.

Requirements & Stakeholder Management

  • Partner with business stakeholders and Data Delivery teams to translate business needs into clear user stories, functional/non-functional specifications, acceptance criteria, and prioritized backlog items.

  • Elicit, challenge, and document requirements for core changes, working with source system owners, data engineers, and architects to define source-to-target mappings, lineage, and data quality controls.

  • Perform hands-on data analysis and SQL-based investigation to validate data quality, troubleshoot issues, and inform data model and product decisions.

  • Manage data-related incidents, availability questions, and escalations for core platforms and BAU feeds, communicating clearly with technical and non-technical audiences alike.

  • Validate and sign off on new foundational data elements, confirming accuracy, functionality, and Enterprise Data management (EDM) standards are met.

Collaboration & Delivery Partnership

  • Partner with the Delivery Manager and Scrum Masters to keep core change and steady-state features refined, sequenced, and ready for delivery.

  • Work with data engineering and architecture teams to reduce technical debt, retire legacy patterns, and move business logic into the appropriate data layer.

  • Communicate roadmap, tradeoffs, dependencies, and progress toward AI-first adoption clearly to both technical teams and business/executive stakeholders.

  • Maintain strong working relationships across the organization, including Architecture, Governance, Platform Operations, and peer Product Managers.

What Success Looks Like:

Outcomes are defined to make goal-setting, Performance & Development Reviews (PDRs), and mid-year reviews straightforward:

  • Platform & Data Reliability - Core platforms and BAU feeds are stable, monitored, and consistently meet agreed data quality and availability standards.

  • Well-Aligned Data Models - Conformed and curated data models are proactively evolved to match current and emerging business use cases and data product outcomes.

  • Governed Layers - Clear, enforced separation of raw/silver/gold with metadata and lineage managed in Unity Catalog.

  • AI-First Progress - Measurable adoption of AI and automation within core change and steady-state workflows, in line with the organization's AI-first operating model.

  • Roadmap Health - A prioritized, transparent roadmap that balances new core change demand with the ongoing health of steady-state operations.

  • Stakeholder Trust - Strong, trust-based relationships with business stakeholders and engineering partners, evidenced by clear communication and reliable delivery.

Our Must Haves:

  • Minimum 5 years of experience as a Product Manager or Product Owner with a data platform, data engineering, or core data focus.

  • Property & Casualty (P&C) insurance industry experience.

  • Familiarity with data frameworks and methodologies, data warehousing concepts, governance, and data quality

  • Deep analytical skills and working knowledge of SQL and cloud data platforms, with the ability to independently query, investigate, and validate data.

  • Demonstrated ability to understand and evolve conformed and curated data models to best align them to business use cases and intended data product outcomes.

  • Experience defining platform or engineering-enablement roadmaps and translating technical needs into a prioritized backlog.

  • Strong verbal and written communication skills, with the ability to translate between technical and business audiences.

  • Experience working with cross-functional agile teams, facilitating consensus on scope, design, and prioritization decisions.

Our Nice to Haves:

  • Hands-on experience with cloud data and analytics platforms such as Databricks, BigQuery, or equivalent, and familiarity with data lineage and metadata management tools such as Unity Catalog or Dataplex.

  • Exposure to AI-first or AI-enabled data operating models, including use of AI/GenAI in the data product development lifecycle.

  • SAFe POPM, CSPO, or equivalent agile product management certification.

  • Experience with Objectives and Key Results (OKRs) and Organizational Change Management (OCM).

  • Experience working as part of a globally distributed team.

Hiscox Values:

At Hiscox our spirit is in Challenging Convention and everything we do is guided by our Values.

  • Courage: Dare to take a risk

  • Ownership: Passionate, commercial and accountable

  • Integrity: Do the right thing, however hard

  • Connected: Together, build something better

  • Human: Clear, fair and inclusive

What Hiscox USA Offers:

  • Competitive salary and bonus (based on personal & company performance)

  • 401(k) with competitive company matching

  • Comprehensive health insurance, vision, dental and FSA plans (medical, limited purpose, and dependent care)

  • Company paid group term life, short- term disability and long-term disability coverage

  • 24 Paid time off days, 2 Hiscox Days, 10 paid holidays, and ability to purchase 5 PTO days

  • Paid parental leave

  • 4 week paid sabbatical after every 5 years of service

  • Financial Adoption Assistance and Medical Travel Reimbursement Programs

  • Annual reimbursement up to $600 for health club membership or fees associated with any fitness program

  • Company paid subscription to Headspace to support employees' mental health and wellbeing

  • Recipient of 2024 Cigna's Well-Being Award for having a best-in-class health and wellness program

  • Dynamic, creative and values-driven culture

  • Modern and open office spaces, complimentary drinks

**Please note that this position is hybrid and requires two (2) days in our office weekly**

Salary Range: $100-$130k

The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment

About Hiscox USA:

Hiscox USA underwrites small- to mid-market commercial risks through brokers, other insurers and distribution partners and directly to businesses. In 2026, gross written premiums for the segment will represent over $1bn. Circa 50% of the portfolio comprises small commercial business sold either online or through intermediaries, and the remaining 50% represents traditionally traded business intermediated through broking partners including Professions, Crisis Management and Specialist lines such as Media & Entertainment. Hiscox USA has built the digital business since 2010 through ongoing investment in the brand, technology and operational capabilities. The business has pursued an omni-channel approach since inception, and so are less constrained by the channel conflict which affects some competitors. Customers have a choice of buying policies online end-to-end, by connecting with a Hiscox agent over the telephone, or alternatively through a third-party broker or insurance carrier partner. The business follows an 'all roads lead to Hiscox' philosophy, ensuring it is available to do business with target customers whichever way they choose.

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