This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Manager, Issue Resolution is responsible for resolving escalated issues and closing the gap between internal, external, and vendor stakeholders. This position ensures service issues are resolved in an efficient, effective, and customer-focused manner and serves as the team’s primary escalation path. The Manager, Issue Resolution is responsible for oversight of internal and external issues, continuous improvement and trending, driving team behaviors to meet business area and company goals. - Tracks issue resolution trends, reporting insights, and tool metrics to drive accurate issue resolution - Implements tools, reporting, and metrics to drive high-quality issue resolution and regularly communicates trends to executive leadership - Resolves escalated, executive, and high-complexity issues - Collaborates with the leadership and analytics teams to inform strategy for issue resolution - Designs and documents processes that deliver customer-focused solutions while mitigating risk and maintaining compliance with industry trends and regulations - Ensures smooth transitions between involved teams by evaluating tools and processes with third-party administrators (TPA) - Drives continuous process improvement and cross-functional problem solving using internal metrics and analytics and industry best practices - Manages team training and development and procedure enhancement to support timely issue resolution - Tracks individual and overall performance by quantitative and qualitative measurements and provides feedback and direction to the team - Monitors daily operations, revises and enhances staffing policy; collaborates with operations leaders on capacity and demand modeling - Performs other functions, duties, and projects as assigned Qualifications - Bachelor's Degree in business administration, finance, marketing, or related field - 5+ years of general business experience with experience in life, annuity, and/or disability claims - 5+ years of experience in Customer Service, Issue Resolution work, direct resolution with customers - 1+ years of relevant experience in a supervisory role - Life insurance certifications (e.g., LOMA, ICA) Requirements - This position primarily involves sedentary work, requiring long periods of sitting, regular use of a computer, and occasional standing or walking, with reasonable accommodations available. - Regular and punctual attendance - Ability to travel up to 10% of the time Company Description Since 1959, Fidelity & Guaranty Life Insurance Company (F&G) has offered annuity and life insurance products to those who are seeking security in retirement and protection during life’s unexpected events. - F&G believes in an employee-centric flexible environment, which is why we offer the ability for in-office, hybrid and remote work arrangements. - F&G complies with federal and state disability laws and makes reasonable accommodations for applicants and candidates with disabilities, unless such accommodation would cause an undue hardship for F&G. - Join our employee-centric hybrid work environment. - F&G is a proud equal opportunity employer.

• Develop a deep understanding of the iGaming ecosystem, encompassing both Sportsbook and Casino products, operations, and player behavior. • Build strong relationships with stakeholders across both Sports and Casino business units, serving as a key technical contributor to driving total commercial performance. • Collaborate with Data Scientists and Analysts to implement and refine scalable solutions for complex iGaming business problems. • Contribute to the development, deployment, and iterative improvement of automated personalization and promotion engines across the iGaming suite. • Build and maintain sophisticated Lifetime Value (LTV) models to improve player segmentation and marketing efficiency. • Remain current on technology, machine learning trends, and competitive shifts within the global sports betting and gaming industry.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As part of this transformation, we’re building a best-in-class performance marketing engine—and we’re hiring a Sr. Data Scientist, Marketing to help us push it to the next level. - Develop and deploy advanced statistical and machine learning models to support key marketing initiatives—including media mix modeling, attribution, targeting, and customer LTV forecasting - Design and implement robust experimentation frameworks to power A/B and multivariate testing across marketing channels and customer journeys - Lead exploratory data analysis to uncover opportunities for growth, personalization, and efficiency—leveraging internal and third-party data sources - Build predictive models that inform campaign strategy, audience segmentation, and churn prevention - Collaborate with Data Engineering and Analytics teams to build scalable data pipelines and ensure data integrity for modeling and reporting - Partner with performance marketing, CRM, brand, and regional teams to translate analytical findings into business action - Develop clear, concise, and compelling data stories for leadership and cross-functional stakeholders - Stay ahead of the curve on new methodologies, tools, and privacy trends in marketing data science—and help drive their adoption across the organization. Qualifications - 5+ years of experience in data science with a Bachelor’s or Master’s degree or 2+ years with a PhD, preferably with a focus on marketing, customer analytics, or growth in a fintech or B2C tech environment - Strong programming skills in Python or R, especially for modeling, data manipulation, and visualization - Expertise in statistical methods (e.g., regression, clustering, time-series, causal inference, uplift modeling, Bayesian approaches) - Deep experience with A/B testing, experiment design, and measurement - Proficiency in SQL and working with large-scale datasets from data warehouses (e.g., Snowflake, Redshift, BigQuery) - Familiarity with data visualization tools (e.g., Looker, Tableau, Power BI) - Hands-on experience with marketing platforms (e.g., Google Ads, Meta, CRM tools) is a plus - Strong communication skills with the ability to distill complex analysis into clear insights and actionable recommendations - Comfort operating in a fast-moving, ambiguous, and highly collaborative environment - Multilingual skills or global market experience is a plus. Requirements - This position will be remotely based in the United States Benefits - Remote first flexibility - Generous PTO - 13 Paid Holidays - Medical / Dental / Vision Insurance - Life, Disability, and other benefits - 401k with competitive Employer Match - Community Service Days - Generous Parental Leave - Anticipated Base Pay: $145,000 - $200,000 + participation in our annual bonus plan

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Data Scientist/Senior Data Scientist, you will drive our predictive analytics innovation. Your primary goal will be to design, build, and deploy new predictive models across our entire product suite, including iWave, Ascend, and AdvancementRM. - Build Predictive Models: Design and implement machine learning models to predict donor behavior, giving capacity, and engagement propensity across all Kindsight products. - Maximize the Value From Client and Third-Party Data: Evaluate the wide-range of data gathered from clients and current third-party vendors to identify new metrics and insights using existing data. - Identify New Data Collection Opportunities: Identify additional data that could be collected within each product to develop stronger predictive models. - Benchmarking: Design new metrics to benchmark client fundraising potential and performance. - Partner with Head of AI: In close collaboration with our Head of AI, build agents and generative AI that leverages new predictive model results to fuel fundraising efforts. For Sr Level, in addition to the above: - Architect & Mentor: Lead the design of scalable ML pipelines and mentor junior data scientists on best practices in statistical modeling and experimental design. Qualifications - Intermediate Experience: At the junior level, 3+ years of data analytics, data science, and machine learning experience. - Senior Experience: 6+ years of data analytics, data science, machine learning experience, and preferably management experience. Experience working in Agile environments, with a strong understanding of Scrum principles. - Technical Acumen: Mastery of Python or R to clean, structure, and model data. Preferably, experience with AWS. - Problem Solving: Strong, detail-oriented problem solving skills and ability to work independently. - Excellent Communicator: Strong written and verbal communication skills with a focus on internal communication across teams. Bonus Points - Familiarity with Salesforce - Familiarity with CRMs, ERPs, or fundraising technology. Compensation Range $110k-$175k CAD base annually, plus bonus, based on experience, market benchmarks, and role complexity. We aim to offer fair, competitive pay that reflects your skills and the market. Equal Opportunity Statement This advertised position is for an existing vacancy at Kindsight. At Kindsight, we’re proud to be a place where everyone belongs and has an equal opportunity to contribute, thrive and grow. We hire based on skills, potential, and impact, and we believe our differences fuel innovation. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. We’re building a workplace where everyone has the opportunity to do meaningful work and make a difference. AI Tools in Recruitment We leverage artificial intelligence (AI) tools to support certain aspects of our recruitment process. These tools may help with resume screening, drafting job descriptions, creating interview questions and occasionally identifying potential candidates. All hiring decisions are made by our people, not AI. Our intent is to use AI thoughtfully to streamline administrative tasks, improve the candidate experience and support fair, unbiased hiring practices consistent with industry standards.