We’re committed to putting people first – if you need an accommodation as you go through the job searching, application, and interviewing process, please click here for more information.
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Bachelor's degree in human resources, Finance, Business or related field; advanced degree preferred or equivalent professional training. Minimum of 10 years of experience in ERISA retirement plan management and in-depth knowledge of IRS regulations, with a strong focus on Defined Contribution plans. Ability to analyze retirement plan performance, market trends, and employee engagement metrics to inform strategic decisions. Relevant certifications such as CEBS, QPA, QKA, or CFP highly preferred. Proven experience participating in or supporting Investment Committees. Demonstrated leadership in developing and executing financial well-being strategies. Effective people leadership skills with success in coaching and mentoring teams. Working knowledge of other benefit areas such as health & welfare, leave of absence, and employee well-being. Strong communication, leadership, and vendor management skills. Develop and execute the organization's retirement strategy, ensuring programs are competitive, compliant, and aligned with workforce needs and business goals. Lead and develop a high-performing team responsible for the day-to-day administration and continuous improvement of retirement and financial well-being programs. Serve as a member of the Investment Committee and provide strategic and operational input in the fund lineup design, investment monitoring, and fiduciary oversight. Support the Retirement Committee by preparing materials, contributing to plan governance discussions, and ensuring compliance with fiduciary responsibilities. Ensure compliance with ERISA, IRS, DOL, and other regulatory requirements, including audits, filings, plan testing, and document maintenance. Design and drive employee engagement strategies that enhance understanding, participation, and outcomes in retirement programs and financial well-being initiatives. Manage vendor relationships, including recordkeepers, investment consultants, actuaries, and legal counsel; oversee performance, contracts, and RFPs as needed. Collaborate cross-functionally with HR, Legal, Payroll, and Finance to ensure seamless administration and alignment with total rewards and people strategy. Use data and analytics to assess plan performance, participation trends, and opportunities for improvement. 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Prepare and present findings to the GRS Capital Committee to secure support for recommendations Deal Management: Lead the day-to-day management of M&A initiatives from initiation to closing, ensuring alignment and progress through deal-specific steering committees Due Diligence Coordination: Organize internal resources for thorough due diligence in collaboration with Corporate M&A Integration/Separation Management: Oversee the integration or separation of deals in alignment with business leadership post-closing Stakeholder Relationship Management: Cultivate and maintain strong relationships with internal corporate and business segment teams Manager Responsibilities: Lead GRS Strategy & Corporate Development staff members and their professional development 7+ years (preferably within the insurance sector) of corporate development, strategy M&A, and/or financial planning & analysis (FP&A) experience, with experience executing transactions across the lifecycle Bachelor's degree in finance/economics-related discipline; MBA or other relevant advanced degree desired. Expert influencing skills, with a strong ability to build consensus among multiple levels and functions within the organization. Will need to influence actions and drive results among parties with different agendas and reporting relationships. Driven and flexible enough to succeed in ambiguous and less structured situations. 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Educate and Empower: Provide training and resources to Risk Control Consultants and clients to promote best practices in safety and risk management. Collaborate: Work closely with cross-functional teams, in Risk Control, Underwriting, and Claim, including direct customer service, to ensure comprehensive risk assessment and management strategies. Analyze and Optimize: Utilize data analytics and industry insights to identify trends, develop actionable strategies, and drive continuous improvement in risk control practices. Influence the Future: Shape the direction of our risk control initiatives, influencing policy and procedural changes that enhance our market position. Advanced property knowledge with high retention and application of NFPA and FM materials. Proven experience in risk control within the commercial insurance industry. Strong technical property knowledge and analytical skills to interpret data and inform decision-making. Exceptional coaching and communication abilities to inspire and guide teams and clients alike. A coach who can monitor and evaluate the technical quality of loss prevention services provided by less experienced consultants. A proactive mindset with a passion for problem-solving and innovation. Participates in actively acquiring and retaining profitable business. Ability lead & collaborate on projects. Bachelor's degree with coursework in math, engineering or related areas (or equivalent) and at least 10 years of directly related consulting experience in loss prevention or progressive safety/heath field. Candidates are typically working towards (or obtained) an advanced degree and/or professional certification in one or more of the following areas: CSP, ARM, CRM, CPCU, CIH, or CPE. Advanced knowledge, skills and experience in a specialized field, service planning and delivery, risk assessment, risk analysis, solutions management and progress measurement. 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Proficiency in investment analytics, data architecture, and programming tools such as Python, SQL, Dash, and Power BI. Bachelor's degree required; advanced degree or certification (e.g., MBA, CFA, CAIA) strongly preferred. Builds the Business: Shapes long-term strategy through insight, foresight, and execution at scale. Drives Commercial Impact: Translates ideas into innovations that enhance portfolio performance and investment advantage. Delivers Through People: Develops talent and fosters a collaborative, high-performance team culture. Models Corporate Citizenship: Collaborates transparently across the enterprise and leads with integrity and shared purpose. Ensure initiatives are operationalized across the investment platform and embedded into daily decision-making. Manage, mentor, and develop a high-performing team, fostering a culture of intellectual curiosity, continuous learning, and applied experimentation. 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Define impact metrics that demonstrate effectiveness and align with enterprise goals. Influence the sequencing and prioritization of data use cases, identifying cross-cutting themes and ensuring strategic, efficient capability build-out. 7-10 years of experience in data strategy, investment operations, analytics, or a related role within asset management, financial services, or insurance. Strong understanding of investment data domains, including portfolio holdings, transactions, classifications, and analytics. Demonstrated ability to translate business needs into data strategy and influence stakeholders across a matrixed organization. Familiarity with enterprise data platforms and tools (e.g., Snowflake, Power BI) and foundational knowledge of data governance or architecture. Excellent communication and storytelling skills, with the ability to synthesize complex ideas into actionable plans for both technical and business audiences. 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The Senior Director, M&A will proactively participate in discussions with senior leaders across the organization to source, assess, and identify opportunities, while aligning with group-wide strategic inorganic goals and focus areas. We seek an individual with prior experience working effectively in a high-urgency, high-performance, and high-visibility culture, capable of multitasking across several projects simultaneously. This role is highly cross-functional, requiring strong communication, relationship-building, and presentation skills. Candidates must possess a robust technical finance/insurance and valuation skill set and have prior experience successfully negotiating and structuring transactions to execution. The ability to influence and drive results without direct authority is critical for success. 7+ years (preferably within the insurance sector) of corporate development, M&A, and/or investment banking experience, with experience executing transactions across the lifecycle. Corporate finance subject matter expert with significant experience in economic, financial, and valuation modeling. Bachelor's degree in a financial/economics-related discipline; CFA designation highly preferred. Developed negotiation, facilitation, and influencing skills--comfortable making decisions when not all data points are available. Strong project management and collaboration capabilities, with the ability to gain buy-in and influence across functions. Highly motivated individual capable of working independently with flexibility to meet transaction-driven deadlines, including working outside of regular business hours (e.g., weekends, nights). Exceptional verbal, written, and communication skills; ability to interact with various levels within the organization (including executive) and external partners, such as investment bankers, accounting/tax/finance advisors, and legal counsel. Strong proficiency with Microsoft Excel, PowerPoint, Bloomberg, and S&P Capital IQ. 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Valuation and Financial Analysis: Oversee and lead complex financial and valuation analysis relating to M&A projects, providing thought leadership across economic scenarios/analysis in a clear and concise manner to executive leaders. Due Diligence Management: Coordinate internal and external resources to conduct detailed diligence across functional areas, ensuring all findings are appropriately considered and reflected in project analysis. Structuring & Negotiations: Engage legal, tax, and accounting teams to proactively consider transaction structuring scenarios. Assess pros and cons to achieve the most effective solution. Lead or assist in negotiations of live transactions across various workstreams, communicating qualitative and quantitative risk/reward trade-offs. 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Identify quality metrics and thresholds by working with the business data owners and users. As a recognized subject matter expert, owns and publishes reports related to quality metrics along with root cause analysis and mitigation options to the end user community. Identify and manage the resolution of complex data quality issues in a timely fashion. Consults on the management of data throughout its lifecycle from creation to retirement by participating in the development, definition, and execution of policies, guidelines, and quality control procedures for the reporting and dissemination of data. Demonstrate a mastery over multiple domains (i.e. MDM, lineage, data security, data quality, etc.) in solving business use cases. Works with stakeholders to define metrics that are impactful for the business. Develop and define data validation, verification, and reconciliation strategies to support data governance, stewardship, and security. At least 10-15 years of experience in asset management or financial services, including extensive experience with portfolio relevant data and analytics. Strategic Thinking: Ability to analyze complex problems, identify patterns, and develop insights that can inform business decisions. Strong technical expertise: You should possess a high level of understanding of financial industry and in particular asset management internal and external data set content, expertise in data analytics, data management, and data modeling. You should be proficient in programming languages such as both Python and SQL. Knowledge of data visualization tools, such as Power BI, is also desirable. Strong domain knowledge: Demonstrate a mastery over multiple domains (i.e. ABOR, IBOR, MDM, lineage, data quality, etc.) in solving business use cases. Develop and define data validation, verification, and reconciliation strategies to support data governance, stewardship, and security. Financial Industry Expertise: You should have a deep understanding of financial industry master data, market data, and portfolio analytics. You should be familiar with the financial instruments and the various financial data sources in the asset management industry. Data Governance and Management: You should be well-versed in data governance principles and should have experience in developing and implementing data governance policies and procedures and standards. Analytical & Problem-Solving Skills: You should possess strong problem-solving skills and be able to design and implement solutions to complex data management challenges. Organizational Skills: Demonstrate ability to define, organize and roadmap multiple priorities simultaneously. 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Advance knowledge of predictive toolset; expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Has a value-driven perspective with regard to understanding of work context and impact. Analyst II: Competencies typically acquired through 0-1 yrs. of related experience with a Ph.D., a minimum of 2-3 yrs. of experience with a master's degree, a minimum of 4+ yrs. of experience with a bachelor's degree. Assistant Director: Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 2 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 4 years of relevant experience or may be acquired through a Bachelor`s degree(scientific field of study) and a minimum of 5+ years of relevant experience. Breadth of knowledge with feature engineering, traditional machine learning, deep learning, and generative AI. Familiarity with common machine learning frameworks (e.g. scikit-learn, PyTorch, Hugging Face, etc.). Highly skilled in at least one data science discipline (e.g. computer vision, NLP, etc.). Curiosity, ability to learn quickly, and a problem solving mindset. Demonstrated ability to collaborate with cross-functional teams, interact with business stakeholders to understand the business problem, and explain complex concepts clearly and concisely. Knowledge or experience with integrating multiple modalities (e.g., vision, language, audio) for advanced AI solutions. Understanding of DevOps principles and MLOps practices to ensure smooth model deployment, monitoring, and continuous improvement. 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