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Technical Product Manager (Insurance)

Tiger Analytics

This Senior Product Manager role focuses on the strategy and go-to-market execution of data products specifically within the insurance domain for an advanced analytics consulting firm.

What you’d own

  • Product vision, roadmap, and OKR tracking
  • GTM awareness across enterprise teams
  • Translation of business problems into user stories
  • Proof of concept (POC) development and demos

Who it’s for

A fit if you…

  • ✓You have 8+ years of experience in tech/enterprise environments
  • ✓You have mandatory insurance industry experience
  • ✓You possess Tableau and Power BI technical skills
  • ✓You can communicate effectively with both executives and engineers

Not for you if…

  • ✗You prefer a non-consulting, non-client-facing environment
  • ✗You lack experience in the insurance domain
  • ✗You prefer roles without heavy data/analytics requirements

Reading between the lines

  • The mention of 'entrepreneurial environment' and 'individual responsibility' suggests a high degree of autonomy with less established process.
  • Requirement for both Tableau and Power BI skills implies you will be deeply involved in the technical visualization layer, not just high-level strategy.

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Full job description

Tiger Analytics is an advanced analytics consulting firm recognised for our deep expertise in Data Science, Machine Learning, and AI. Our partnerships with Fortune 100 companies enable us to tackle complex business challenges and drive value through innovative analytical solutions. We are looking for an experienced Product Manager to lead the strategy, development, and go-to-market execution of data products within the Insurance domain. This role requires strong product ownership, stakeholder management, and hands-on collaboration with engineering and analytics teams.

Responsibilities: Own and execute the product vision, strategy, and roadmap for enabled solutions. Define ‘what’ and ‘why’ the platform should build, and what business and user problems it will solve Define and track product OKRs and KPIs, and drive the team to achieve them Drive GTM (go-to-market) excitement and awareness of our platform across all enterprise teams Collaborate closely with engineering and data science teams to build, validate, and showcase POCs and demos.

Translate business problems into clear product requirements and user stories. Communicate product strategy, progress, and outcomes to senior leadership and key stakeholders. Ensure products align with BFS regulatory, compliance, and risk considerations. Requirements 8+ years of Product Management experience in technology/enterprise environments. Mandatory insurance industry experience, along with Tableau experience and intermediate Power BI skills, including dashboards, workspaces, publishing, and basic DAX.

Experience with AI/ML, advanced analytics, or data products and cloud-based solutions. Strong Business Analyst skills: requirements gathering, documentation, stakeholder management, and attention to detail. Strong executive and technical communication skills with the ability to influence business and technical stakeholders. Experience driving products/solutions end-to-end in a fast-paced enterprise environment. MBA or advanced degree is a plus. Benefits Significant career development opportunities exist as the company grows.

The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

About Tiger Analytics

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Tiger Analytics is a data and AI consulting firm that helps large enterprises solve analytics problems, from data engineering and cloud modernization on Microsoft Fabric, Azure and Databricks to machine learning and generative AI. Clients span insurance, supply chain, retail and energy, and analysts like ISG have named it a leader in several specialty categories. It has over 7,000 technologists and consultants across North America, Europe and Asia-Pacific, and press coverage describes it as nearing 1 billion dollars in revenue with IPO ambitions. Certified as a Great Place to Work, it hires for some remote roles.

Data & AnalyticsAI & Machine Learning

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