intelligence consultant

The Hartford

<div>Consultant Bus Intelligence - GC08BE
We&rsquo;re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals &ndash; and to help others accomplish theirs, too. Join our team as we help shape the future. 
Description
Business Intelligence Consultant, Global Specialty
Do you have a passion for solving problems using data and analytics? Do you enjoy flexing your creative visualization talents in a team environment?
Join a fast-paced and talented team that is focused on delivering analytical tools to enable the company to better manage and monitor its products. The Business Intelligence Consultant will be responsible for designing, developing and delivering analytic capabilities for the Global Specialty business area. The ideal candidate for the Business Intelligence Consultant will have a strong Business Intelligence background, a talent for telling stories with data, an aptitude for collaborating with business customers, and a focus on delivery. A strong commitment for advocacy and adoption of the Business Intelligence and analytical solutions is a key success criteria for the position.
This successful candidate will help execute a roadmap for delivering data and analytical capabilities, as well as understand and coordinate the prioritized backlog. Other responsibilities may include partnering with other BI Consultants around best practices, standards, training, documentation and peer reviews.
Responsibilities<ul><li>
Drive execution of the data &amp; analytical capabilities roadmap to solve current business challenges and unlock new opportunities.</li><li>
Create new and/or enhance existing dashboards and visual analytics that empower business partners to make informed, data-driven decisions.</li><li>
Deliver high-priority or advanced BI, data, and analytical capabilities that support enterprise goals and innovation.</li><li>
Manage individual workload effectively while maintaining clear and proactive communication with team members and leadership.</li><li>
Identify, troubleshoot, and escalate data or analytics issues to ensure timely resolution and maintain data integrity.</li><li>
Translate stakeholder feedback into actionable improvements by collaborating with product owners and development team to design, develop, deploy, and support AI &amp; visual analytic tools.</li><li>
Partner with IT, data, and other BI organizations as a thought leader to elevate enterprise-wide data and analytics capabilities.</li></ul>
Qualifications
The ideal candidate for the BI Consultant position has a passion for building BI/analytical/data solutions, is results-oriented and is self-motivated. A successful candidate will be able to demonstrate the following qualities in a fast-paced environment:<ul><li>
Bachelor's degree in a related field or equivalent professional experience</li><li>
Proficiency in querying languages.</li><li>
Experience with advanced features of data visualization tools. (Tableau, ThoughtSpot, Power BI)</li><li>
Experience with delivering GenAI solutions within BI tools.</li><li>
Solid foundation in statistical analysis and ability to analyze datasets to identify trends and patterns.</li><li>
Strong analytical, problem-solving and critical thinking skills to address complex business challenges.</li><li>
Excellent communication skills to present data insights clearly and effectively to stakeholders.</li><li>
High attention to detail to ensure data accuracy and integrity.</li><li>
Ability to work collaboratively in a team environment and contribute to cross-functional projects.</li><li>
Ability to quickly learn and apply new technologies, platforms, and methodologies to solve business problems.</li><li>
Specialty Insurance experience is a plus</li></ul>
This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).
Candidates 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.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford&rsquo;s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$76,000 - $114,000
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age</div>

Business Intelligence Consultant

malomatia

<div>
 
 Role Summary
 
 
 
 
 
 You will lead the security architecture, governance, and assurance of our AI and GenAI platforms across the organization. This includes classical ML systems and modern LLM/agentic architectures. You will define how models are designed, deployed, monitored, and defended; ensure they are robust, explainable, privacy-preserving, and compliant; and act as the go-to expert for AI security across products, data, cloud, and security teams.
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 &bull;AI Security Architecture
 
 
 oDesign and review secure architectures for ML/LLM workloads (training, fine-tuning, inference, RAG, agents, plugins, tool calling, APIs).
 
 
 oDefine reference architectures for on-prem, hybrid, and cloud AI platforms (Azure OpenAI, AWS Bedrock, GCP Vertex, self-hosted models, etc.).
 
 
 &bull;Threat Modeling &amp; Risk Management
 
 
 oPerform AI-specific threat modeling (e.g., data poisoning, model theft, prompt injection, jailbreaks, supply-chain, inference attacks) using MAESTRO or similar framework.
 
 
 oAlign controls with leading frameworks: NIST AI RMF, ISO/IEC 27001, ISO/IEC 27090, ISO/IEC 42001, OWASP GenAI / LLM Top 10, CSA &amp; MITRE ATLAS.
 
 
 &bull;Security Control Design &amp; Implementation
 
 
 oDefine and oversee implementation of controls for:
 
 
 &squf;Training &amp; data pipelines (data quality, provenance, labeling, PII protection).
 
 
 &squf;Model &amp; artifact integrity (signing, SBOM, secure registries).
 
 
 &squf;Access control, isolation, rate limiting, and abuse detection.
 
 
 &squf;Secure prompt engineering and guardrail policies.
 
 
 &squf;Security prompt monitoring to detect ongoing attacks.
 
 
 &squf;Data security: data classification, data masking and DLP.
 
 
 &squf;MCP server hardening.
 
 
 &bull;Reliability &amp; Trustworthiness
 
 
 oPartner with engineering and data science to embed robustness, observability, fallback strategies, and evaluation pipelines (safety, bias, toxicity, hallucination monitoring).
 
 
 oContribute to SLOs/SLAs for AI systems, including security and reliability KPIs.
 
 
 &bull;Secure SDLC for AI
 
 
 ombed AI security into CI/CD: scanning, dependency checks, policy-as-code, red-teaming AI components pre- and post-release.
 
 
 &bull;Incident Response &amp; Red Teaming
 
 
 oLLM bias detection.
 
 
 oPerform red teaming activities to abuse and force AI hallucinations.
 
 
 oDevelop and maintain AI-specific playbooks (prompt abuse, model exfiltration, data leakage, compromised agents).
 
 
 oLead or support AI red/blue/purple teaming exercises using frameworks like MITRE ATLAS.
 
 
 &bull;Governance, Compliance &amp; Policy
 
 
 oAdvice on alignment with emerging AI regulations and standards (e.g., EU AI Act, regional laws, internal AI use policies).
 
 
 oDefine internal policies on responsible AI, data usage, model lifecycle, and 3rd-party AI risk management.
 
 
 &bull;Stakeholder Leadership
 
 
 oRun workshops, training, and awareness for engineering, security, and business teams.
 
 
 
 
 
 Required Qualifications &amp; Experience
 
 
 
 
 
 &bull;8&ndash;12+ years in Cybersecurity, with 3&ndash;5+ years focused on AI/ML or data platforms (can be overlapping).
 
 
 &bull;Hands-on experience with:
 
 
 oCloud platforms (Azure, AWS, GCP) and their AI services.
 
 
 oAt least one Agentic/GenAI stack (e.g., Transformers, LangChain/LlamaIndex, vector DBs, model gateways, MLOps platforms).
 
 
 &bull;Proven track record designing or reviewing secure architectures for:
 
 
 ML pipelines, LLM/RAG systems, or agentic/automation platforms.
 
 
 &bull;Strong understanding of:
 
 
 oCryptography, identity &amp; access management, network &amp; app security.
 
 
 oData protection &amp; privacy (PII, PHI, DPIA concepts).
 
 
 &bull;Experience working with or mapping to frameworks/standards such as:
 
 
 oNIST AI RMF, ISO/IEC 27001, ISO/IEC 42001, SOC 2, OWASP Top 10 &amp; OWASP GenAI/LLM Top 10, MITRE ATT&amp;CK/ATLAS, CSA guidance.
 
 
 &bull;Excellent communication skills: able to translate complex AI risks into clear business and technical requirements.
 
 
 Core Technical &amp; Domain Skills
 
 
 &bull;AI/ML &amp; GenAI fundamentals:
 
 
 oModel types (LLMs, encoders, diffusion, classical ML), training/inference flows.
 
 
 oData pipelines, feature stores, embeddings, vector databases.
 
 
 &bull;AI Penetration testing:
 
 
 oPrompt injection, model tampering, data poisoning, output manipulation, exfiltration, shadow AI, insecure plugins/integrations.
 
 
 &bull;Platform &amp; Infra:
 
 
 o Kubernetes, containers, API gateways, secrets management, zero trust.
 
 
 &bull;Observability:
 
 
 o Logging, tracing, safety &amp; quality metrics for AI systems.
 
 
 o Health and latency monitoring.
 
 
 &bull;Strong scripting/automation (Python preferred) for security tooling and assessments.
 
 
 Certifications &amp; Training (Required / Highly Desirable)
 
 
 
 
 
 Essential:
 
 
 
 
 
 &bull; One or more core security certifications:
 
 
 o CISSP, CISM, CCSP, ISO 27001 Lead Implementer/Lead Auditor.
 
 
 &bull;One or more cloud security certifications:
 
 
 oCCSK (Cloud Security Alliance), AWS Security Specialty, Azure Security Engineer, Google Professional Cloud Security Engineer.
 
 
 &bull;AI &amp; AI Security&ndash;specific training / certs (or commitment to obtain within 6&ndash;12 months):
 
 
 oNIST AI RMF or ISO/IEC 42001-focused training.
 
 
 oCertified AI Security Professional (CAISP / similar offerings that cover LLM/GenAI threats, MITRE ATLAS, OWASP LLM Top 10).
 
 
 oOffSec / similar LLM &amp; AI Red Teaming or GenAI security courses.
 
 
 oVendor AI/ML certifications (Azure AI Engineer, AWS Machine Learning Specialty, GCP ML Engineer) with demonstrated security emphasis.
 
 
 Additional desirable:
 
 
 &bull;GIAC/GWAPT/GXPN/GCLD or similar offensive / cloud / Appsec certs.
 
 
 &bull;Formal training in:
 
 
 oSecure MLOps &amp; ML supply-chain security.
 
 
 oPrivacy engineering &amp; data protection (e.g., CIPT, CDPSE).
 
 
 oOWASP GenAI / LLM Top 10, MITRE ATLAS, CSA MAESTRO &amp; other AI risk frameworks.
 
</div>

Artificial Intelligence Consultant

NavitasPartners

<div><h3 class="jobSectionHeader">Job Title: Senior BI Consultant</h3>
<h3 class="jobSectionHeader">Location: Everett, MA 02149 (Hybrid &ndash; 1 day onsite/week)</h3>
<h3 class="jobSectionHeader">Duration: 6 Months Contract</h3>
<h3 class="jobSectionHeader">Work Hours: 37.5 hours/week (7.5 hours/day)</h3>
<h3 class="jobSectionHeader">Job Summary:</h3>

We are seeking a highly skilled Senior BI Consultant to support multiple data warehouse and analytics initiatives. The ideal candidate will bring strong expertise in data visualization, report development, and business intelligence solutions, primarily using Microsoft Power BI and related technologies.

This role involves designing, developing, and maintaining reporting solutions, as well as collaborating with cross-functional teams to deliver high-quality analytics products that meet business needs.

<h3 class="jobSectionHeader">Key Responsibilities:</h3>
<ul>
<li>Migrate existing SSRS reports to Power BI Report Server
</li>
<li>Design and develop reporting solutions using Microsoft Power BI
</li>
<li>Provide expertise in data visualization and dashboard design
</li>
<li>Participate in modernization and migration projects to Power BI
</li>
<li>Define and follow Power BI development best practices
</li>
<li>Collaborate with product owners, project managers, and technical teams to gather and implement requirements
</li>
<li>Optimize and enhance Power BI reports and dashboards for performance and usability
</li>
<li>Maintain and support existing BI solutions
</li>
<li>Stay updated on industry trends and Microsoft Azure-based BI technologies
</li>
<li>Mentor junior developers and provide technical guidance
</li>
<li>Develop monitoring systems to track usage and ensure system stability
</li>
<li>Create and maintain documentation throughout the software development lifecycle
</li>
<li>Analyze business requirements and provide technical solutions and development estimates
</li>
<li>Build and support enterprise data models using Power BI, SSAS, AAS, and dataflows
</li>
<li>Design and develop cubes, metadata, and reporting layers
</li>
<li>Implement solutions for ad-hoc reporting on large datasets
</li>
<li>Work with data lake and warehouse architectures
</li>
</ul><h3 class="jobSectionHeader">Minimum Qualifications:</h3>
<ul>
<li>Bachelor&rsquo;s degree or at least 3+ years of relevant technical experience
</li>
<li>5+ years of experience developing complex reports, dashboards, and scorecards
</li>
<li>5+ years of advanced experience with Microsoft Power BI
</li>
<li>5+ years of strong SQL experience with efficient query writing skills
</li>
<li>2+ years of experience with other BI tools (e.g., Cognos)
</li>
<li>Experience working with multiple data sources such as Oracle and SQL Server
</li>
<li>Strong data analysis and problem-solving skills
</li>
<li>Solid understanding of data modeling concepts
</li>
<li>Experience building SSAS tabular models
</li>
<li>Experience with Power BI data transformation and modeling
</li>
<li>Knowledge of SSRS and SSIS
</li>
<li>Understanding of OLAP and ETL frameworks
</li>
<li>Ability to manage multiple priorities and meet deadlines
</li>
<li>Excellent communication and collaboration skills
</li>
<li>Ability to work independently with minimal supervision
</li>
<li>Strong attention to detail and time management skills
</li>
</ul><h3 class="jobSectionHeader">Preferred Qualifications:</h3>
<ul>
<li>Experience with cloud technologies (e.g., Azure)
</li>
<li>Familiarity with Agile methodologies
</li>
<li>Experience with dimensional modeling (fact/dimension, star schema)
</li>
<li>Power BI Certification (preferred)
</li>
<li>Strong team collaboration and communication skills
</li>
</ul>For more details reach at ndogra@navitassols.com.</div>

Senior BI Consultant - SBIC 26-02719

Codvo.ai

<div><div><div>Data Scientist Consultant (Category &ndash; Senior Engineer)
Sector: Oil and Gas
Department: Digital Transformation
Reporting To: Head of Digital Intelligence
About Us
At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology. 
Job Description
The Data Science Consultant acts as the strategic link between business problem solving and advanced analytics. By applying machine learning and statistical rigor to complex business challenges, this role identifies key opportunities to optimize safety, efficiency, and overall performance.
Key Responsibilities<ul><li>Identify and support analytics and AI use cases aligned with business and conceptualization priorities.</li><li>Engage stakeholders to gather requirements and translate business needs into analytical problem statements.</li><li>Perform exploratory data analysis, statistical modelling, and predictive analytics on structured and unstructured datasets.</li><li>Develop machine learning models and analytical solutions to support forecasting, optimization, and anomaly detection.</li><li>Design dashboards and performance reporting frameworks to support decision-making.</li><li>Conduct impact analysis, ROI estimation, and value tracking for analytics initiatives.</li><li>Collaborate with data engineers and product teams to deploy scalable analytics solutions.</li><li>Present insights and recommendations to both technical teams and business leadership.</li></ul>
Required Skills and Qualifications<ul><li>+6 years of experience in data science, analytics, or business intelligence roles under digital transformation projects.</li><li>Strong proficiency in Python, SQL, and Power BI or similar visualization tools.</li><li>Experience with machine learning frameworks (Scikit-learn, TensorFlow, or PyTorch).</li><li>Strong analytical thinking and structured problem-solving skills.</li><li>Experience in requirements gathering, stakeholder engagement, and business case development.</li><li>Ability to communicate complex analytical findings in clear business terms.</li></ul>
Preferred Qualifications<ul><li>Experience in Oil &amp; Gas, energy, or industrial analytics environments.</li><li>Familiarity with enterprise data platforms such as Azure or Databricks.</li><li>Knowledge of Agile delivery frameworks.</li><li>Certification in Data Analytics, Business Analysis, or Data Science preferred.</li></ul> 
Note- Please apply via our official careers portal only, as applications sent directly to executives may not be considered</div></div></div>

Data Scientist Consultant (Category – Senior Engineer) - Doha Qatar

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Senior BI Consultant - SBIC 26-02719

Data Scientist Consultant (Category – Senior Engineer) - Doha Qatar