applied ai lead enterprise platforms

Wayfair

<div><div><div><div><b>Salary Range:</b> $165,663 - $184,875 per year.</div></div><div><br>
</div>
<div></div><br>
<div>The above base pay range may vary depending on location, job-related knowledge, skills and experience. The range listed is just one component of Wayfair&rsquo;s total compensation package for employees. Depending on the position offered, equity, bonuses, commissions and other forms of compensation may be provided as part of the compensation package, in addition to a comprehensive suite of medical, financial and additional benefits.</div><div><br>
</div>
<div><div>This is an onsite role based out of our Boston, MA office. Monday-Thursday in-office and Friday remote.</div><div><br>
</div>
</div></div><div><b>About the Role</b></div><div></div><div><br>
Our team is at an inflection point in how work gets done. After investing in AI across workflows and individual productivity, we are rethinking our fundamental operations in an AI-first environment.</div><div><br>
</div><div>
This role is not about incremental improvement or digitizing existing processes. It is about redefining how work happens end-to-end&mdash;simplifying where possible, rearchitecting where necessary, and building an operating model that fully leverages AI and automation.</div><div><br>
</div><div>
We are seeking a technologist at heart to lead this transformation across our Enterprise Platforms teams, including Legal, Procurement, and Global Security and Safety. These functions are critical to Wayfair&rsquo;s operations but like most organizations, have structured processes to capitalize on human strengths, not machine strengths. This role is responsible for changing that.</div><div><br>
</div><div>
You will identify the true objective behind workflows&mdash;not just optimize existing steps&mdash;and determine what should be automated, simplified, or eliminated entirely. You will define the future state, select the right tools, and partner with Product, Engineering, and Data teams to bring solutions to life and execute automation builds.<br>
</div><div></div><br>
<div>At its core, this role ensures teams operate in the &ldquo;judgment zone&rdquo;&mdash;focused on high-value decision-making&mdash;while AI and automation handle the rest.</div><div><br>
</div><div><b>
What You&rsquo;ll Do
</b></div><div><ul><li><b>Architect the Future State</b>: Conduct deep-dive process mapping of workflows across Enterprise. Identify friction points where we can automate, simplify, or eliminate manual effort, and determine the best tool (AI or otherwise).
</li><li><b>Build Workflows</b>: Identify the highest priority workflows and own the end-to-end build and maintenance of these workflows, leveraging Engineering resourcing for complex tasks such as integrations.
</li><li><b>Build the Roadmap:</b> Develop a high-ROI sequence of initiatives. You will decide what we tackle now for immediate impact versus what we build toward for long-term transformation.
</li><li><b>Drive Technical &amp; Business Linkage:</b> Act as the &quot;translator&quot; between business needs and technical requirements. You&rsquo;ll work with Product, Engineering, and Data teams to drive results.
</li><li><b>Evaluate &amp; Curate</b>: Navigate the crowded AI vendor landscape with a critical eye. You&rsquo;ll assess third-party solutions for scalability and fit&mdash;focusing on what actually works for our teams, and which tools are best for specific use cases.
</li><li><b>Quantify and Communicate Impact:</b> Develop a system for tracking and monitoring progress, including reporting across key metrics including cost savings, efficiency gains, and risk reduction.</li>
<li><b>Lead Through Change:</b> Build consensus across various stakeholder groups as they navigate the shift from legacy processes to AI-enabled workflows.
</li></ul></div><div><b>What You&rsquo;ll Need
</b></div><div><ul><li><b>Outcome Orientation</b>: You can anchor on an outcome and think creatively about how to get there without defaulting to the status quo.
</li><li><b>Systems Thinking:</b> You understand the importance of the right process to unlock the full potential of tech. You see the hidden interdependencies in complex organizations and can redesign them for maximum flow.
</li><li><b>Technical &amp; AI Literacy</b>: You have a strong grasp of what AI and automation can (and cannot) do. You can quickly grasp technical concepts and apply them when building in new tools (e.g. n8n, Claude, etc.). You possibly have a background in coding (or have a willingness to learn as it relates to automation). You are a credible partner to technical teams.
</li><li><b>Cross-Functional Fluency</b>: You are naturally curious, and interested in learning compliance and commercial drivers that underpin your work. You navigate matrixed environments by building influence rather than relying on authority.
</li><li><b>A Bias for Action</b>: You don't get stuck in &quot;analysis paralysis.&quot; You are comfortable with ambiguity and have a proven ability to take a massive list of ideas and distill them into an executable plan.
</li><li><b>Ownership Mentality</b>: You care more about what actually changes than what gets proposed. You are willing to own the outcomes, from the initial map to the final implementation.
</li><li><b>Preferred Backgrounds</b>: We think the skills for this role could come from a variety of backgrounds, but strong fits likely include management consulting, analytics, or product management.
</li><li><b>Leadership Influence:</b> This is a new, high-visibility role with significant executive sponsorship and access. This role will be expected to communicate progress to leadership, nimbly evaluate business tradeoffs, and work independently across a variety of stakeholders.</li>
</ul></div><div>
</div><div></div><div><p><b>Assistance for Individuals with Disabilities</b><br>
Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form.<br>
<br>
<b>Need Technical Assistance?</b><br>
For more information about applying for a career at wayfair, visit our FAQ page here.<br>
<br>
<b>About Wayfair Inc.</b><br>
Wayfair is one of the world&rsquo;s largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we&rsquo;re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you&rsquo;re looking for rapid growth, constant learning, and dynamic challenges, then you&rsquo;ll find that amazing career opportunities are knocking.</p>
<p>
No matter who you are, Wayfair is a place you can call home. We&rsquo;re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair &ndash; and world &ndash; for all. Every voice, every perspective matters. That&rsquo;s why we&rsquo;re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.</p>
<p>
Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com.</p></div></div>

Applied AI Lead, Enterprise Platforms

Plymouth Rock Assurance

<div><p>The Managing Director, Data Governance &amp; Architecture leads Plymouth Rock's enterprise data governance framework and architectural standards to ensure data is trusted, secure, well-classified, and accessible for consumption across Business Intelligence, Machine Learning, and AI applications.</p>
<p>
</p><p>This role is responsible for defining and operationalizing how data is classified, governed, accessed, and distributed across the enterprise, enabling data to be safely consumed at scale by both people and machines. The leader will establish the policies, tools, and processes required to manage data as a strategic asset while supporting the company's transition to an AI/ML-driven operating model.</p>
<p>
</p><p>Partnering closely with Data Product &amp; Engineering, Data Services and business leaders, this role ensures that data is fit for purpose, compliant, and reusable, and that governance frameworks enable&mdash;rather than constrain&mdash;speed, innovation, and value delivery.</p>
<p>
</p><p><b>Key Responsibilities</b></p>
<ul><li><b>Enterprise Data Governance Strategy</b></li></ul>
<ul><li>Define and implement a comprehensive data governance framework aligned to Plymouth Rock's AI/ML-first data strategy.</li>
<li>Establish enterprise standards for data classification, lineage, quality, retention, and access, ensuring data is managed as a controlled and auditable asset.</li>
<li>Develop governance policies that support scalable consumption across Business Intelligence and AI/ML use cases, balancing control with speed and flexibility.</li>
<li>Promote a culture where data is treated as a strategic asset and company resource, with clear accountability for its quality and use.</li>
</ul><ul><li><b>Data Classification, Tagging, and Lineage</b></li></ul>
<ul><li>Design and deploy enterprise-wide data classification standards, including the tagging of sensitive data and alignment to permitted use cases and personas.</li>
<li>Implement metadata management and data catalog capabilities that provide transparency into data origin, transformation, and usage.</li>
<li>Ensure that all data products are properly classified, documented, and discoverable across the enterprise.</li>
<li>Establish and enforce lineage tracking to enable traceability from source systems through downstream consumption.</li>
</ul><ul><li><b>Access Control, Security, and Responsible Data Use</b></li></ul>
<ul><li>Define and enforce policies governing data access, consumption, and distribution across all platforms, including structured data warehouses, data lakes, and AI data services.</li>
<li>Implement role-based and use-case-based access controls to ensure sensitive data is only available to authorized users and systems.</li>
<li>Ensure governance frameworks support responsible AI usage, including controls around data privacy, bias, and regulatory compliance.</li>
<li>Partner with Legal, Compliance, and Risk teams to maintain adherence to all applicable regulatory requirements.</li>
</ul><ul><li><b>Governance Enablement Across Data Services</b></li></ul>
<ul><li>Establish governance processes and controls tailored to the three primary data consumption patterns:</li>
</ul><ul><li><ul><li>Business Intelligence (reporting and analytics)</li>
<li>Machine Learning (model training, feature engineering, and scoring)</li>
<li>AI / Agentic systems (retrieval, reasoning, and interaction)</li>
</ul></li></ul><ul><li>Ensure that governance standards are consistently applied across all environments while accommodating the differing requirements of deterministic and probabilistic workloads.</li>
<li>Enable secure and scalable data access for AI and ML systems without introducing bottlenecks to development or deployment speed.</li>
</ul><ul><li><b>Third-Party Data Acquisition and Management</b></li></ul>
<ul><li>Lead the enterprise capability for sourcing, contracting, and integrating third-party data with particular oversight and policy consistency for external data exchange relationships.</li>
<li>Establish standards for evaluating, onboarding, and governing external data sources to ensure quality, compliance, and reusability.</li>
<li>Manage relationships with key data vendors (e.g., LexisNexis, TransUnion, and others), ensuring contractual enforcement and effective data utilization.</li>
<li>Ensure third-party data is integrated into enterprise data products and made broadly accessible consistent with governance policy and contract terms.</li>
</ul><ul><li><b>Data Architecture Standards and Platform Alignment</b></li></ul>
<ul><li>Define and maintain enterprise data architecture standards supporting both legacy Business Intelligence and emerging AI/ML workloads. Partner with upstream application and infrastructure architects ensuring end-to-end system integrity.</li>
<li>Partner with Data Products and Engineering teams to ensure that data ingestion, storage, and processing patterns align with governance requirements.</li>
<li>Ensure architectural consistency across structured data warehouses, data lakes, AI/ML consumption platforms.</li>
<li>Guide the evolution of the data platform to support scalability, modularity, and reuse.</li>
</ul><ul><li><b>Organizational Alignment and Accountability</b></li></ul>
<ul><li>Work closely with data product owners and business data stewards to embed governance into day-to-day operations.</li>
<li>Establish clear accountability for data quality, classification, and usage at the data product level.</li>
<li>Support cross-functional execution by ensuring governance frameworks enable coordinated delivery across business, data, and AI teams.</li>
<li>Drive transparency into data quality and governance performance through measurable KPIs.</li>
</ul>
<p><b>Qualifications</b></p>
<p>
</p><p><b>Education</b></p>
<ul>
<li>Bachelor's degree in Data Science, Computer Science, Information Systems or a related field required.</li>
<li>Advanced degree preferred.</li>
</ul>
<p><b>Experience Preferred</b></p>
<ul>
<li>7+ years of experience in data governance, data architecture, or enterprise data management.</li>
<li>Proven experience designing and implementing governance frameworks in complex, multi-system environments.</li>
<li>Experience supporting AI/ML data requirements, including structured, unstructured, and streaming data.</li>
<li>Strong understanding of data privacy, regulatory requirements, and responsible AI practices.</li>
<li>Demonstrated ability to balance governance and control with speed and innovation in a modern data environment.</li>
<li>Experience working in cross-functional environments with business, technology, and analytics teams.</li>
<li>P&amp;C Insurance experience and working familiarity of insurance underwriting operations and platform systems preferred.</li>
</ul>
<p><b>Salary Range:</b></p>
<p>
The pay range for this position is $265,000 to $341,000 annually. Actual compensation will vary based on multiple factors, including employee knowledge and experience, role scope, business needs, geographical location, and internal equity.
</p><p></p><p><b>Perks and Benefits</b></p>
<ul>
<li>4 weeks accrued paid time off + 9 paid national holidays per year</li>
<li>Free onsite gym at our Boston Location</li>
<li>Tuition Reimbursement</li>
<li>Low cost and excellent coverage health insurance options that start on Day 1 (medical, dental, vision)</li>
<li>Robust health and wellness program and fitness reimbursements</li>
<li>Auto and home insurance discounts</li>
<li>Matching gift opportunities</li>
<li>Annual 401(k) Employer Contribution (up to 7.5% of your base salary)</li>
<li>Various Paid Family leave options including Paid Parental Leave</li>
<li>Resources to promote Professional Development (LinkedIn Learning and licensure assistance)</li>
<li>Convenient location directly across from South Station and Pre-Tax Commuter Benefits</li>
</ul>
<p><b>About the Company</b></p>
<p><i>
The Plymouth Rock Company and its affiliated group of companies write and manage over $2.3 billion in personal and commercial auto and homeowner's insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of &ldquo;A-/Excellent&rdquo;</i></p>
<p>
</p><p>#LI-PC1</p></div><p></p>

Managing Director, Data Governance & Architecture

Chewy

<div><p>Job Description:</p><p></p><p><b>
Your Opportunity</b></p><p>
Chewy is seeking a highly skilled and experienced <b>Manager, Data Science</b> to join our growing Customer Care Data organization! In this role, you will lead a team of Data Scientists and Machine Learning Engineers. You will collaborate with multi-functional partners to build, develop, and deploy machine learning and data-driven solutions that improve customer and agent experiences. You will guide projects from experimentation to production, bridging advanced analytics with scalable engineering, to deliver measurable business impact. This is a hands-on leadership role dedicated to technical depth, innovation, and execution excellence.</p><p><b>
What You&rsquo;ll Do</b></p><ul><li>
Lead the design and implementation of scalable, reliable machine learning and AI solutions that empower Chewy&rsquo;s Customer Care teams.</li><li>
Partner with engineering, product, operations and enterprise teams to identify high-impact use cases and translate business needs into technical solutions.</li><li>
Lead all aspects of the full data science lifecycle, from data acquisition and feature engineering to model development, deployment, and performance monitoring.</li><li>
Implement best practices in experimentation, model validation, and continuous improvement, ensuring rigor and reproducibility.</li><li>
Ensure models are operationalized through strong MLOps practices, including CI/CD pipelines, versioning, and automated retraining and data quality and governance standards are maintained across all projects.</li><li>
Mentor and develop Data Scientists &amp; Machine Learning Engineers, fostering technical excellence, scalable thinking, and innovation within the team.</li><li>
Guide project prioritization and resource allocation, balancing long-term innovation with near-term business needs.</li><li>
Communicate findings and recommendations to senior leaders through compelling narratives and data visualizations that drive strategic decisions.</li><li>
Stay ahead of emerging ML and AI techniques, particularly in NLP, LLMs, and generative AI, and evaluate their applicability to Chewy&rsquo;s business context.
</li></ul><p><b>What You&rsquo;ll Need</b></p><ul><li>
Master&rsquo;s degree (or Ph.D.) in Data Science, Computer Science, Statistics, or a related field.</li><li>
5+ years of experience in data science or applied machine learning, including at least 2 years leading technical teams.</li><li>
Strong programming skills in Python or R, with experience in data manipulation and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>
Solid understanding of machine learning algorithms, statistical modeling, experimental design and MLOps.</li><li>
Hands-on exposure to LLMs and advanced NLP techniques, including fine-tuning, prompt optimization, and generative AI.</li><li>
Experience with SQL and data engineering concepts; familiarity with cloud platforms (AWS, GCP, or Azure).</li><li>
Familiarity with big data and analytics technologies (e.g., Spark, dbt, Iceberg, Redshift, Athena).</li><li>
Experience with data visualization tools (e.g., Tableau, Streamlit, Plotly).</li><li>
Proven ability to translate complex analytical outcomes into actionable business insights.</li><li>
Excellent communication and stakeholder management skills, with the ability to align technical work to strategic objectives.</li></ul><p><b>
Nice to Have</b></p><ul><li>
Knowledge of graph-based modeling, optimization, or recommendation systems.</li><li>
Previous experience in retail or e-commerce environments.</li></ul><br>
<p></p>
The base salary range for this role is $137,500 - $225,000.00.<ul><li><p>
The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate&rsquo;s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.</p></li></ul><p></p><p>
We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.</p><p></p><p>
Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.</p><p></p><p>
Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.</p></div><p></p>

Manager, Data Science III

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>AWS Snowflake Cloud Data Engineer</div><br>
<div><br>
</div><div>Must Have Technical/Functional Skills
</div><ul><li> Data Product &amp; Asset Management Expertise: 15+ years of experience in data, analytics, or data product leadership, with hands-on expertise in asset-management data domains (ABOR, IBOR, Performance &amp; Attribution, Investments, Holdings, Transactions, Benchmarks). Deep understanding of data flows and consumers spanning the front, middle, and back office.
</li></ul><ul><li> Platform &amp; Architecture Fluency: Proven experience with AWS-based data ecosystems and Snowflake, as well as a strong grasp of data lakehouse architectures, enterprise-scale patterns, and governance/intelligence platforms.
</li></ul><ul><li> Leadership &amp; Ways of Working: Ability to translate complex business and investment requirements into well-defined data products. Exceptional communication and credibility across engineering, product, investment, and operations teams, with a product-oriented mindset centered on adoption, usability, and measurable outcomes.</li></ul><br>
<div><br>
</div><div>Roles &amp; Responsibilities
</div><ul><li> Lead Enterprise Data Product Enablement: Own and set enterprise standards for data products, establishing clear patterns for ownership, contracts, metadata, quality metrics, SLAs, and lifecycle management. Drive a domain-aligned approach spanning ABOR, IBOR, Performance &amp; Attribution, Holdings, Transactions, Benchmarks, and Reference Data.
</li></ul><ul><li> Accelerate Value on Modern Data Platforms: Enable consistent delivery of data products on AWS- and Snowflake-based lakehouse architecture. Collaborate closely with platform engineering to ensure seamless support for ingestion, transformation, analytics, and consumption, while promoting reusable patterns for analytics, reporting, AI/ML, regulatory, and client-facing needs.
</li></ul><ul><li> Drive Adoption, Trust, and Governance: Champion self-service and discoverability through advanced data intelligence and governance platforms. Ensure data products are governed by design, balancing regulatory compliance with agility and usability, and collaborate with governance, risk, and compliance teams to embed necessary controls.
</li></ul><ul><li> Shape the Data Product Operating Model: Define effective collaboration models among data domains, product owners, platform teams, and consumers. Influence investment prioritization by linking data product initiatives directly to strategic outcomes such as improved decision-making, operational efficiency, risk mitigation, and enhanced client service.
</li></ul><ul><li> Lead and Mentor Senior Talent: Develop and lead a high-performing team of senior data product and enablement leaders, setting clear expectations for accountability and business impact, while fostering a culture of data product thinking, reuse, and enterprise stewardship.</li></ul><br>
<div><br>
</div><div>Salary Range- $120,000-$140,000 a year
</div><div>#LI-SP3
</div><div>#LI-VX1
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Boston, MA</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Technical Architect</div>
</div><div><div><b>Job Id</b></div>
<div>404459</div>
</div><div><div><b>Desired Skills</b></div>
<div>AWS</div>
</div><div><div><b>Salary Range</b></div>
<div>$120,000-$140,000 [jobDescription.year]</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

AWS Snowflake Cloud Data Engineer

<div><p>The Managing Director, Data Products &amp; Engineering leads the development, expansion, and delivery of Plymouth Rock's enterprise data assets across our data warehouse and data lake environments.</p>
<p>
</p><p>This role is responsible for ensuring that enterprise data is complete, high fidelity, low latency and continuously expanding to meet the needs of Business Intelligence, Machine Learning, and AI data services and consumption patterns. You will partner closely with the heads of Date Governance and Data Services to ensure that Plymouth Rock's data distribution and consumption is well organized, well governed and accessible at speed and scale.</p>
<p>
</p><p>This leader will organize and execute work through agile data products aligned to business and enterprise data domains consistent with a growing insurance organization. The role is responsible for ensuring each data product squad meets clear objectives on a rapid development cycle serving the organization's AI ambitions.</p>
<p>
</p><p><b>Key Responsibilities</b></p>
<ul><li><b>Enterprise Data Product Strategy &amp; Delivery</b></li></ul>
<ul><li>Lead the development of enterprise data products aligned to business and enterprise domains, ensuring data is structured, accessible, and reusable across the organization.</li>
<li>Define and prioritize the data development roadmap in alignment with business needs, AI/ML use cases, and platform evolution.</li>
<li>Ensure data products are delivered incrementally through agile development cycles, with clear ownership, accountability, and measurable outcomes.</li>
<li>Drive the transition from project-based delivery to a product-based operating model, while maintaining the ability to support enterprise project demands through scaled agile execution.</li>
</ul><ul><li><b>Continuous, Rapid Data Expansion (Depth &amp; Breadth)</b></li></ul>
<ul><li>Own the continuous expansion of enterprise data across data products leveraging both internal and external sources.</li>
<li>Ensure that all relevant enterprise data&mdash;structured, unstructured, and streaming&mdash;is ingested, harmonized, and made available for consumption.</li>
<li>Partner with the Third-Party Data capability to integrate external data into enterprise data products and ensure broad accessibility across use cases.</li>
<li>Partner with application developers to identify and eliminate data leakage by systematically capturing all data generated at the frontline operation, including previously unmanaged or unstructured sources.</li>
</ul><ul><li><b>Data Engineering &amp; Platform Execution</b></li></ul>
<ul><li>Lead teams of data engineers and product owners responsible for ingestion, transformation, and delivery of data across the enterprise data warehouse and data lake.</li>
<li>Ensure efficient and scalable data pipelines that support both deterministic (reporting) and probabilistic (AI/ML) consumption patterns.</li>
<li>Continuously improve data ingestion speed, pipeline reliability, and processing efficiency to meet evolving business and AI demands.</li>
<li>Embed business context into data product development, ensuring outputs are actionable and aligned to operational needs.</li>
<li>Partner with Data Governance &amp; Architecture to ensure data products align with classification, lineage, and access standards. Ensure consistent, well organized documentation.</li>
</ul><ul><li><b>Agile Product Execution &amp; Scaled Delivery</b></li></ul>
<ul><li>Align and organize data platform into an agile product structure operating mutually exclusive, collectively exhaustive. Ensure maximum throughput and minimum handoffs and bottlenecks.</li>
<li>Ensure products squads are empowered to deliver incrementally, operate autonomously, and are accountable for measurable outcomes aligned to the objectives of the data office.</li>
<li>Establish and manage agile delivery practices, including sprint cycles, backlog prioritization, and release management.</li>
<li>Coordinate with adjacent teams (Applications, Data Services, and AI/ML engineering) through a scaled agile framework, ensuring alignment across interdependent workstreams.</li>
</ul>
<p><b>Qualifications</b></p>
<p>
</p><p><b>Education</b></p>
<ul>
<li>Bachelor's degree in Data Science, Computer Science, Engineering, Actuarial Science, Business Administration, or a related field required.</li>
<li>Master's degree (MS in Data Analytics, Artificial Intelligence, or Information Management) preferred.</li>
</ul>
<p><b>Experience Preferred</b></p>
<ul>
<li>7+ years of experience in data management, engineering, or related disciplines.</li>
<li>3+ years of successful senior leadership experience managing enterprise data or analytics functions.</li>
<li>Expertise in data quality management and data architecture best practices, including strong understanding of AI/GenAI data needs, including text, image, and structured data preparation.</li>
<li>Expertise in agile development methods including implementing scale agile methods in a cross-functional environment.</li>
<li>P&amp;C Insurance experience and working familiarity of insurance underwriting operations and platform systems preferred.</li>
</ul>
<p><b>Salary Range:</b></p>
<p>
The pay range for this position is $256,500 to $315,000 annually. Actual compensation will vary based on multiple factors, including employee knowledge and experience, role scope, business needs, geographical location, and internal equity.
</p><p></p><p><b>Perks and Benefits</b></p>
<ul>
<li>4 weeks accrued paid time off + 9 paid national holidays per year</li>
<li>Free onsite gym at our Boston Location</li>
<li>Tuition Reimbursement</li>
<li>Low cost and excellent coverage health insurance options that start on Day 1 (medical, dental, vision)</li>
<li>Robust health and wellness program and fitness reimbursements</li>
<li>Auto and home insurance discounts</li>
<li>Matching gift opportunities</li>
<li>Annual 401(k) Employer Contribution (up to 7.5% of your base salary)</li>
<li>Various Paid Family leave options including Paid Parental Leave</li>
<li>Resources to promote Professional Development (LinkedIn Learning and licensure assistance)</li>
<li>Convenient location directly across from South Station and Pre-Tax Commuter Benefits</li>
</ul>
<p><b>About the Company</b></p>
<p><i>
The Plymouth Rock Company and its affiliated group of companies write and manage over $2.3 billion in personal and commercial auto and homeowner's insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of &ldquo;A-/Excellent&rdquo;</i></p>
<p>
</p><p>#LI-PC1</p></div><p></p>

Managing Director, Data Products & Engineering

Liberty Mutual Insurance

<div><b>Description
</b><p>Are you passionate about the power of data and how technology can unlock the analytical powers to help the enterprise achieve its strategic goals? The Global People, Purpose &amp; Brand Technology organization is looking to hire a Solutions Engineer, Data. In this role, you will be part of a fast-paced team where you will help influence the ongoing evolution of our data strategies and roadmap, delivering key data solutions in alignment with business goals to drive desired outcomes.</p><p><b>
This role has a hybrid work schedule (2 days onsite) and we are considering candidates based in Portsmouth, NH and Boston.</b></p><p>
In this role, you will collaborate closely with Engineering, Data Office, and Architecture teams to influence our united data strategy, enhance user experiences, and deliver impactful solutions that drive the outcomes we need to deliver on our 2030 vision.</p><p>
The primary focus will be supporting the talent analytics needs for People, Purpose and Brand and the Enterprise. You will lead the development and implementation of technology strategies and roadmaps by engineering clear, comprehensive, and integrated data solutions that support both business plans and long-term objectives. You will serve as a trusted consultant on complex data architecture and modeling and will drive improvements in data quality, reliability, and efficiency. Additionally, you will provide leadership by assessing team velocity and identifying continuous improvement opportunities to boost product and team performance. Through driving meaningful change, you will advance Global People, Purpose, and Brand Technology and business initiatives, tackle complex challenges, accelerate our AI journey, and empower engineering and business teams to unlock new capabilities that enable business agility and flexible, responsive solutions.</p><p></p><p><br>
If you&rsquo;re ready to embrace this challenge and lead the future of Global People, Purpose, and Brand Technology at Liberty Mutual, we want to hear from you! Apply today and help shape the future of data at Liberty Mutual.</p><p><br>
</p><p><b>Key Responsibilities:</b></p><ul><li>
Responsible for the implementation of technology by engineering clear, comprehensive and integrated data solutions which support business plans and long-term strategies in alignment with our North Star Architecture.
</li></ul><ul><li>Collaborate with the Data Office,<b><i> </i></b>Digital Employee Experience, Lakehouse Engineering, and Application Development teams to translate business requirements into scalable data solutions.</li><li>
Oversee troubleshooting and resolution of infrastructure compatibility issues, ensuring alignment with systems architecture and customer expectations.</li><li>
Actively participate in incident management, providing expert guidance and consultative recommendations to facilitate effective resolutions.</li><li>
Drive continuous process improvements to enhance operational efficiency and effectiveness.</li><li>
Contribute to strategic decisions impacting both profitability and operational performance.</li><li>
Develop and manage comprehensive technology strategies and roadmaps, prioritizing initiatives to ensure alignment with overall business objectives.</li><li>
Create and maintain clear conceptual and logical architecture diagrams to support solution design and communication.</li><li>
Support Agile squads in adopting new technical solutions while leading the evaluation of technical alternatives and spearheading the development and prototyping of innovative tools and technologies.</li><li>
Participate actively in Data Architecture procedures and policy management to ensure governance and compliance.</li></ul><b>
Qualifications</b><ul><li>
Bachelor&rsquo;s or master&rsquo;s degree in a technical or business discipline, or equivalent experience; a technical master&rsquo;s degree is preferred.</li><li>
Proficient with cloud data tools and platforms, with extensive knowledge of infrastructure, cloud-based platforms, and development tools.</li><li>
Minimum of 5+ years of experience with Python and core AWS services&mdash;including, S3, Step Functions, CloudWatch, Lambda, API Gateway, and IAM&mdash;along with working knowledge of Azure cloud platforms for authentication.</li><li>
Familiarity with Machine Learning and AI technologies, particularly their application to data.</li><li>
Up-to-date awareness of current data trends and industry developments.</li><li>
Strong knowledge of industry-standard and company-specific data tools such as Databricks, DBT, etc.</li><li>
Proven track record managing complex technical projects with attention to detail and strategic vision.</li><li>
Excellent problem-solving skills and a collaborative mindset, with the ability to work effectively across cross-functional teams.</li><li>
Demonstrated commitment to mentorship and fostering the technical growth of others.</li><li>
Highly developed oral and written communication and presentation skills, with the ability to collaborate effectively at all organizational levels.</li><li>
In-depth knowledge of IT concepts, strategies, methodologies, and emerging technologies, including new architectural concepts and principles.</li></ul><p><b>
Highly competitive applicants will have the following:</b></p><ul><li>
Minimum of 10 years of experience in data warehousing, with Snowflake experience preferred, combined with a passion for innovation. Snowflake certifications are a plus.</li><li>
Expertise in Snowflake, including knowledge of upcoming features and opportunities for leveraging them.</li></ul><b>
About Us</b><p><b>
Pay Philosophy:</b> The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.<br>
<br>
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.<br>
<br>
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits<br>
<br>
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.<br>
<br>
<b>Fair Chance Notices</b></p><ul><li>
California</li><li>
Los Angeles Incorporated</li><li>
Los Angeles Unincorporated</li><li>
Philadelphia</li><li>
San Francisco</li></ul></div>

Solutions Engineer, Data

Suffolk Construction

<div>Overview:
<div><div><b>
About Suffolk</b></div><div><br>
</div></div><div><div>Suffolk is a national enterprise that builds, innovates, and invests. We provide value across the entire project lifecycle through our core construction management services and complementary business lines in real estate investment, design, self-perform construction, and technology start-up investment (Suffolk Technologies). By integrating data, artificial intelligence, and advanced technology through our Seamless Platform, we connect design, construction, and operations to deliver smarter, more predictable results and redefine how America builds.</div></div><div></div><div><div><br>
Suffolk &ndash; America&rsquo;s Contractor &ndash; is a national company with more than $9 billion in annual revenue, 3,000 employees, and 17 offices, including Boston (headquarters), New York City, Miami, West Palm Beach, Tampa, Estero, Dallas, Los Angeles, San Francisco, San Diego, Las Vegas, Herndon, U.S. Virgin Islands, and other key markets. Suffolk manages some of the most complex and transformative projects in the country, serving clients across healthcare, life sciences, education, gaming, aviation, transportation, government, mission critical, and commercial sectors. Suffolk is privately held and is led by founder, chairman and CEO John Fish. Suffolk is ranked #8 on ENR&rsquo;s list of &ldquo;Top CM-at-Risk Contractors.&rdquo; For more information, visit www.suffolk.com and follow Suffolk on Facebook, Twitter, LinkedIn, YouTube, and Instagram.</div></div><div></div><div><div><br>
At Suffolk, we believe that our total rewards program should offer you and your family the support you need when it matters most. That&rsquo;s why we have created a program that provides employees with access to a wide variety of options that can be personalized to support you and your loved ones physically, emotionally, and financially.</div></div><div></div><div><div><br>
Benefits include, competitive salaries, auto allowances and gas cards for certain roles, access to market leading medical and emotional and mental health benefits, dental, and vision insurance plans, virtual care options for physical therapy and primary care, generous paid time off, 401k plan with employer match and access to expert financial resources, company paid and voluntary life insurance, tax deferred savings accounts, 10 backup daycare days each year, short- and long-term disability, commuter benefits and more. For more information, click here.</div><div></div><div><b><br>
Role Summary</b><br>
<br>
As the Vice President of P&amp;C HRIS / Product Management, you will serve as the leader of Suffolk&rsquo;s HR platforms and processes. You will define and drive the vision, strategy, and product roadmap for capabilities spanning the full employee lifecycle&mdash;ensuring our systems, workflows, and data models operate as an integrated, scalable, and high performing ecosystem. You will leverage your experience to lead our modernization efforts and transition to Oracle HCM &ndash; partnering with our IT team and selected Systems Integrator. This passionate and collaborative leader will build a team of Product Managers/Analysts while partnering closely with our P&amp;C COEs, IT and business stakeholders to support the growth of our business and workforce.</div><div></div><div><br>
This role requires on-site presence 4 days a week in our amazing Boston office - which offers free parking, a free on-site gym and cafeteria and other perks that make for a great culture and unique employee experience!</div></div>
Responsibilities:
<p><b>
Building</b><b> Strategic &amp; Product Leadership</b></p><br>
<p></p><ul><li>
Lead Suffolk&rsquo;s transition to Oracle HCM in partnership with IT, Oracle and the SI, including the company wide change management strategy to drive adoption</li><li>
Define and lead the long-term vision, roadmap, and governance model for the product strategy and foundational HR capabilities across the employee experience</li><li>
Translate the P&amp;C priorities, operating models, and workforce insights into cohesive product experiences, scalable solutions, and AI enabled workflows</li><li>
Operate as the central lead from P&amp;C on Suffolk&rsquo;s efforts to introduce AI into the day to day processes and forward-thinking priorities</li><li>
Establish and track success metrics that measure product performance, data integrity, efficiency and employee experience outcomes</li><li>
Ensure the design and delivery of product features and enhancements to keep pace with the transformation happening across the P&amp;C services and solutions</li></ul><p><b>
People Leadership &amp; Capability Building</b></p><br>
<p></p><ul><li>
Partner with the CPO to design/hire/inspire the team that will support the transition to Oracle HCM, as well as the support of the day to day HRIS execution</li><li>
Prioritize the development of the team to continuously improve their HR technology expertise, data/insight fluency and collaboration across the broader P&amp;C team</li><li>
Foster a culture of innovation by bringing market insights, product best practices, and emerging HR technology trends into the strategy and design process</li></ul><p><b>
Cross Functional Leadership</b></p><br>
<p></p><ul><li>
Partner with HR COEs and IT to drive delivery excellence, manage dependencies, and ensure successful execution of product initiatives</li><li>
Influence senior stakeholders on technology, data, and process implications&mdash;advising on risks, trade offs, and strategic investment priorities</li><li>
Partner with P&amp;C leadership to improve technology and date fluency across the P&amp;C population</li><li>
Represent P&amp;C in Suffolk wide governance forums, planning cycles, and cross functional product integration efforts</li></ul>
Qualifications:
<ul><li>Demonstrated success leading a transition/implementation to Oracle HCM</li><li>
Extensive experience leading large-scale HR technology and HR modernization initiatives with demonstrated success harmonizing processes, data and platform configurations across a global enterprise</li><li>
10-12+ years in HR Technology, HR Product Management, or HRIS with a strong track record of driving complex, cross functional product builds, enhancements and transformations</li><li>
Broad familiarity across HR functional areas (e.g., Talent Acquisition, Total Rewards, L&amp;D, Payroll, etc.) to support coherent, end to end process design and cross functional alignment</li><li>
Strong program and project management capability, with the ability to manage cross functional teams, navigate dependencies, and identify and mitigate risks across company wide initiatives</li><li>
Exceptional strategic thinking and product storytelling skills, with the ability to translate complex technical or process concepts into clear, compelling product direction that drive awareness and adoption</li><li>
Demonstrated ability to lead through complexity and organizational change, influencing leaders across HR, Technology, and the business to deliver outcomes</li><li>
Demonstrated expertise in HR product capabilities and platforms with strong acumen in HR operating models, process design and foundational data structures</li><li>
The ability to explain complex product and technology trade-offs to senior executives and the value of on-going investment in HR products</li></ul>
Working Conditions:
<div>
While performing the duties of this job, the employee is regularly required to sit for long periods of time; talk or hear; perform fine motor, hand and finger skills in the use of a keyboard, telephone, or writing. The employee is frequently required to stands; walk; and reach with arms and/or hands. Specific vision abilities include close vision, distance vision, depth perception and the ability to adjust focus. The employee will spend their time in an office environment with a quiet to moderate noise level. Job site walking.</div>
EEO Statement:
<div>
Suffolk provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, pregnancy or maternity, national origin, citizenship, genetic information, disability, protected veteran, gender identity, age or any other status protected by law. This policy applies to recruiting, hiring, transfers, promotions, terminations, compensation, benefits, and all other terms and conditions of employment. Suffolk will not tolerate any unlawful discrimination toward, or harassment of, applicants or employees by anyone at Suffolk, or anyone working on behalf of Suffolk.</div>
Compensation Information:
<p>
The expected salary range for this position (Vice President, People &amp; Culture HRIS / Product Management) in Boston, MA is between $225,000 and $300,000 USD. This represents the typical salary range for this position and is just one component of Suffolk&rsquo;s total compensation package. Actual salaries may be based on several factors including, but not limited to, skill set, experience, education and other qualifications. Suffolk offers a comprehensive benefits package as part of its overall compensation strategy. Salary ranges may differ by geography and are reviewed regularly to reflect market trends</p></div>

Vice President, People & Culture HRIS / Product Management

Explore 149+ Applied ai lead enterprise platforms in Boston this April. Find roles across top companies and apply now to boost your career.