Lead Benefits Strategy Consultant

At AT&T, we empower leaders to drive change in a fast-evolving, connected world. Your strategic vision will help serve customers and transform lives through innovative solutions and impactful connections.

As a Lead Benefits Strategy Consultant, you will help shape the future of benefits for a Fortune 50 enterprise. In this high-impact role, you will lead strategic analysis, financial modelling, and executive-level recommendations across benefit plans, with an emphasis on qualified retirement plans and collective bargained benefit programs. We are looking for a candidate who combines actuarial discipline, analytical depth, and business judgement to translate complex data into practical strategies that improve plan sustainability, competitiveness, and employee value.

• Lead strategic analytics and scenario modelling:
  Build and evaluate complex financial, actuarial, and workforce models to assess benefit plan design options, cost trends, risk exposure, and long-term sustainability across retirement and health programs.
• Drive insight generation:
  Synthesize internal data, market benchmarks, regulatory developments, and external research into clear hypotheses and actionable recommendations for senior leadership.
• Influence enterprise decisions:
  Translate highly technical findings into concise, executive-ready communications and presentations. Partners across Benefits, Finance, Treasury, Legal, Labour, HR, vendors, and external actuaries to align analysis with business priorities and regulatory requirements.
• Own performance and trend analysis:
  Monitor benefit plan experience, vendor performance, demographic shifts, and emerging cost drivers; identify opportunities to optimise plan value, affordability, and operational effectiveness.

• 5+ years of experience in benefits strategy, actuarial consulting, retirement plan, health analytics, finance, or related field,
• Experience in a large corporate environment, consulting firm, or similarly complex organisation.
• Extensive strength in structured problem solving, quantitative analysis, and decision support in complex business environments.
• Ability to interpret benefit plan documents, insurance contracts, collective bargaining agreements, and vendor or consulting deliverables with a high degree of accuracy and judgement.
• Advanced proficiency in Excel and PowerPoint, with demonstrated capability in data visualisation, modelling, and executive storytelling; experience with Tableau, Power BI, SQL, AI models, or similar analytical tools is highly valued.
• Excellent interpersonal, written, and verbal communication skills, with the ability to influence stakeholders across technical and non-technical audiences.
• A self-starter who thrives in ambiguity, exercises sound judgement, and can independently manage high-visibility projects with attention to detail.
• Proven success leading cross-functional work streams while also contributing as a hands-on analytical expert.
• Ability to frame ambiguous business questions, test alternative scenarios, and deliver clear recommendations supported by data.

• Working knowledge of ERISA, ACA, FASB/ASC accounting standards, tax considerations, and other legal or regulatory requirements affecting benefit programmes.
• Experience in actuarial analysis, retirement consulting, health and welfare strategy, finance, or another highly quantitative field is strongly preferred.
• Experience with business intelligence and data visualisation platforms such as Tableau or Power BI, and familiarity with large corporate data environments.
• Background working with enterprise data warehouses, benefit administration data, claims data, or workforce analytics.
• Progress toward or attainment of actuarial, financial, or analytical credentials such as ASA, FSA, EA, CFA, or similar professional designations is preferred.
• Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Economics, Finance, Data Science, Computer Science, or a related quantitative discipline strongly preferred.
• Advanced degree or specialised training in analytics, business, actuarial science, or finance is a plus.
• Professional certifications such as ASA, FSA, EA,…