Data Privacy Delivery Lead

We need to output HTML fragment with sections: About the role? The posting includes intro paragraphs. We need to use

for section headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections when posting has real specific content exists. We need to parse the posting: It starts with some intro about The Hartford, then description of role. Likely "About the role" can be the introductory paragraphs before Responsibilities. Then we have a "Responsibilities" heading in the posting (capitalized). Then "Impact" maybe could be part of About? But we have sections: Responsibilities, Qualifications (they have Required and Preferred). There's also "Success Profile". Could be considered part of Qualifications? But we need to follow instruction: Use headings only for those listed. We can include "Qualifications" for required and preferred. "Skills" maybe not explicitly listed; but we could embed skills within Qualifications. However we should only create sections when there is real specific content. The posting includes "Qualifications Required" and "Preferred". So we can put that under Qualifications heading. There's also "Success Profile" which could be considered part of Qualifications or maybe separate but not in list; we could omit or incorporate into Qualifications. The instruction: Prefer a few substantive sections over many thin ones. So we could have About the role, Responsibilities, Qualifications, Pay, Schedule. Also maybe Benefits? Not mentioned. So we omit Benefits. Pay: there is compensation section with base pay range. So include Pay heading. Schedule: there is work arrangement description (Hybrid/Remote). So include Schedule heading. We need to remove boilerplate: EEO etc. Remove lines like "Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age". Also remove "The posted salary range reflects our ability to hire at different position titles and levels depending on background and experience." That's part of compensation but maybe keep? It's not boilerplate? It's still part of compensation description; we can keep but it's not essential. We'll keep the pay range and maybe a brief note. We need to preserve all substantive information. So we need to include the intro paragraphs about The Hartford, role description, responsibilities list, qualifications required and preferred, success profile maybe, compensation, work arrangement. We must not repeat job title as heading. The title appears at top: "Sr Data Engineer - GE07BE Sr. Consultant, Asset Owner - GF07AE". That's weird; but we should not repeat it as heading. We need to output only HTML fragment, no /, no markdown fences. Let's craft:

About the role

... intro paragraphs ...

Responsibilities

• ... each responsibility ...

Qualifications

Required:

... required items ...

Preferred:

... preferred items ...

Maybe also include Success Profile as part of Qualifications? Could add another

but not heading.

Pay

The annualized base pay range for this role is: $97,600 - $170,040. Actual base pay may vary based on performance, proficiency, and demonstration of competencies. Other rewards may include short‑term or annual bonuses, long‑term incentives, and on‑the‑spot recognition.

Schedule

This role can be Hybrid or Remote. Candidates who live near one of our office locations (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) are expected to work in the office three days a week (Tuesday through Thursday). Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise.

We need to ensure we don't include boilerplate like "Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position." That's substantive? It's about work authorization; maybe we should keep? It's not in the list of headings but could be placed under About the role or Qualifications? It's a requirement. Could add a paragraph under Qualifications about work authorization. But the instruction: preserve ALL substantive information. So we need to include that. Where to put? Could add a

under Qualifications after Preferred: "Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position." Also we need to include the line about "This role can have a Hybrid or Remote work arrangement." Already in Schedule. Now we need to extract responsibilities list exactly as in posting. Let's copy them: - Own delivery of assigned Data Privacy products and capabilities from intake and requirements definition through implementation, adoption, operational support, and enhancement. - Translate established strategic objectives, regulatory obligations, and stakeholder needs into prioritized product backlogs, delivery plans, milestones, acceptance criteria, and measurable outcomes. - Define clear, technically feasible requirements that developers, analysts, engineers, and vendor partners can execute without needing to reinterpret the business objective or fill material gaps. - Apply sufficient technical knowledge of data platforms, relational structures, views, queries, transformations, integrations, reporting, and AI-enabled solutions to evaluate implementation options, identify limitations, and guide sound design decisions. - Specify what data should be included, how each element should be defined and presented, which values are valid, how exceptions should be handled, and what logic is required to produce consistent and explainable results. - Establish data profiling expectations, business rules, classifications, taxonomies, naming conventions, validation criteria, and presentation standards that the delivery team must follow. - Review requirements documents, mappings, solution designs, prototypes, demonstrations, and completed work with a critical lens, identifying missing logic, unsupported assumptions, data quality concerns, usability barriers, and downstream impacts before release. - Challenge proposed solutions through detailed questions and evidence-based feedback, ensuring the completed product addresses the full business need rather than only the immediate technical request. - Direct the design of data structures, curated outputs, dashboards, reports, workflows, and agentic capabilities so that complex information is understandable and actionable for users who are not technical specialists or Privacy subject matter experts. - Lead work through discovery, refinement, development, testing, implementation, training, release, and transition to support while maintaining progress against committed deadlines. - Coordinate delivery across Privacy, Compliance, Legal, Data Governance, Technology, Security, business teams, and vendors, resolving dependencies and escalating decisions or blockers when appropriate. - Evaluate opportunities to reimagine processes and solutions through AI, automation, workflow redesign, and emerging technologies, accounting for feasibility, controls, maintainability, and user impact. - Establish quality measures, operational controls, monitoring, documentation, and support procedures that promote reliability, audit readiness, and sustainable ownership. - Maintain accountability for scope, decisions, risks, dependencies, delivery quality, stakeholder readiness, and the overall experience of the people receiving the solution. Now Qualifications Required list: - 5+ years of experience in data product delivery, data engineering, data management, data governance, technology delivery, product ownership, privacy, compliance, or a related discipline. - Demonstrated experience converting established business or regulatory objectives into complete backlogs, detailed requirements, delivery milestones, and acceptance criteria. - Technical fluency across enterprise data environments, including relational databases, cloud data platforms, data warehouses, data models, views, SQL concepts, transformations, integrations, metadata, lineage, and reporting or analytics solutions. - Ability to explain how a data solution could be implemented in at least one relevant technology, assess whether a proposed approach is feasible, and identify technical limitations or dependencies that must be addressed in planning and design. - Experience defining field-level and record-level requirements, including source data, valid values, business definitions, transformation rules, classifications, exception handling, standardization, and expected outputs. - Working knowledge of data profiling and validation methods used to assess completeness, accuracy, consistency, uniqueness, usability, and conformance to established standards. - Proven ability to review mappings, functional and technical requirements, data designs, prototypes, dashboards, demonstrations, or similar deliverables and identify gaps, faulty assumptions, unclear logic, and quality concerns. - Ability to provide precise direction to developers, analysts, engineers, and technical partners without personally serving as the primary resource assigned to build or analyze each solution. - Experience shaping data outputs for non-technical audiences through plain-language definitions, understandable categories, consistent formatting, and business-relevant context. - Strong product and delivery management skills, including backlog ownership, prioritization, dependency management, risk management, release planning, and coordination of concurrent workstreams. - Ability to bridge conversations among attorneys, compliance professionals, business stakeholders, application teams, developers, analysts, and data engineers while preserving the accuracy of both the business need and technical solution. - Strong critical thinking, facilitation, written communication, decision-making, and organizational skills, with the confidence to challenge incomplete work and maintain a high quality bar. Preferred list: - Experience serving as a Product Owner, Data Product Lead, Delivery Lead, Technical Business Lead, Data Engineer, Business Data Analyst, or comparable role. - Experience with Snowflake or a similar cloud data platform and Tableau or another enterprise reporting and visualization technology. - Experience supporting privacy, compliance, governance, audit, risk management, or regulatory programs. - Knowledge of data inventory, metadata management, lineage, classification, retention, data quality, monitoring, and control frameworks. - Familiarity with AI-enabled products, agentic solutions, workflow automation, low-code platforms, APIs, and modern cloud technology ecosystems. - Experience working with Agile teams, iterative delivery models, and vendor-managed solutions. - Insurance or other highly regulated industry experience. Now Success Profile paragraph: we can include as a

under Qualifications maybe after Preferred. Success Profile: "The successful candidate is an execution-focused product and delivery leader who can turn prescribed direction into a complete, feasible, and well-managed body of work. They create enough structure and specificity that developers and analysts understand what to build, why it is needed, how success will be evaluated, and when it must be delivered. They do not need to personally write every query, create every view, conduct every analysis, or develop every solution. They do need sufficient technical fluency to understand how that work is performed, evaluate the implications of available technologies, and recognize when a requirement or proposed solution is incomplete or unlikely to work. They combine an end-to-end view of the roadmap with a sharp eye for implementation detail. When reviewing a requirements document or product demonstration, they examine the logic, fields, valid values, exceptions, terminology, presentation, and user journey. They ask informed questions, uncover gaps, and elevate the deliverable before it reaches the final user. Success in this role is demonstrated by work that is delivered on time, meets a high standard of quality, operates sustainably, and can be understood and used confidently by people outside the Data Privacy team. This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office locations (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) will have the expectation of working in an office 3 days a week (Tuesday through Thursday) Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position." But we already have Schedule and Pay sections; we might duplicate. Better to keep Success Profile separate but not as heading; we can incorporate into Qualifications or About the role. However we already have Schedule and Pay sections covering work arrangement and authorization. So we can omit those from Success Profile to avoid duplication. But we need to preserve all substantive information; we can keep them in Schedule and Pay sections, and not repeat. Thus Success Profile can be shortened to exclude schedule and auth lines. Let's extract the