Technical Program Manager – Client Interface Data Standards

WHO WE ARE: Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders.WHO YOU ARE: We are seeking a Technical Program Manager (TPM) - Client Interface & Data Standards who combines strong customer-facing communication with deep experience managing data specifications, interface standards, and deliveryprograms. You understand how enterprise clients consume data, the importance of high-quality standards, and how to guide customers toward scalable, standardized solutions. You don’t need to be a practicing data professional or data engineer, but youspeak fluent data — data models, interface specs, quality expectations, and workflow impacts. You love translating ambiguous client needs into clear, enforceable specifications, partnering with Data Engineering to ensure upstream quality, and most importantly, helping clients adopt standardized data interfaces without customization. You are motivated by reducing friction, improving delivery efficiency, and enabling Zinnia to scale its data products with reliability, consistency, and customer trust. WHAT YOU’LL DO

Client Interface Leadership:- Serve as the primary customer touchpoint for interface file delivery, guiding clients to adopt Zinnia’s standard data specifications and minimizing customizations.- Lead client discussions to ensure alignment, understanding, and long-term adherence to standardized data models  Specification Stewardship:-  Own the lifecycle of interface specifications with Product and Data Engineering, ensuring specs are accurate, complete, and technically feasible.-  Translate business needs into clear, testable data specifications, including field mappings, data definitions, and quality rules. Cross-Functional Delivery:-  Coordinate across teams to ensure data interfaces are delivered accurately, reliably, and on schedule.-  Manage client onboarding, remove blockers, and track milestones, risks, and dependencies across multiple delivery programs. Quality & Governance:-  Champion data quality and governance standards across all interface data entities and upstream processes.-  Validate data readiness, identify upstream gaps, and enforce consistent adoption of Zinnia’s core data models. Internal & External Communication:-  Create clear artifacts—documented data dictionaries, mapping guides, onboarding plans, FAQs, and status updates—to support client and internal alignment.-  Explain the value of standardized specifications and act as the bridge between technical teams and business/client stakeholders.  Program Excellence:-  Continuously enhance delivery processes through improved playbooks, testing frameworks, onboarding flows, and change management.-  Identify recurring client challenges and propose scalable solutions that reduce ad-hoc effort and increase overall efficiency.

WHAT YOU’LL NEED

7–10+ years of experience in data-related program management, solution architecture, client delivery, or similar roles in SaaS, fintech, or insurance.  Strong understanding of data interfaces, data models, data sharing, and integration of workflows. Experience working directly with enterprise clients to align requirements, negotiate specifications, and drive adoption.  Excellent communication and client-facing skills — able to explain technical concepts clearly and defend standards diplomatically.  Proven track record of managing cross-functional programs with complex dependencies and high expectations for accuracy.  Ability to translate business context into detailed data requirements, field definitions, and quality expectations. A mindset focused on scalability, repeatability, and reducing custom work across clients.

BONUS POINTS• Experience in Life & Annuities, Insurtech, data integrations, or financial services data exchanges.• Prior roles involving data ingestion, ETL/ELT, API/file-based integrations, or data warehouse-powered products.• Familiarity with data standards in insurance ecosystems (ACORD, DTCC, etc.).• Hands-on exposure to SQL, BigQuery, Snowflake, or data modeling concepts.• Experience creating onboarding playbooks, delivery processes, or specification of governance frameworks. WHAT’S IN IT FOR YOU? Zinnia offers excellent career progression and competitive compensation. We offer great benefits, including health/dental insurance, parental leave, profit sharing, 401(k), incentive/bonus opportunity, tuition reimbursement, and so much more. The expected salary range for this position is $140,000 - $160,000, dependent on skills and location. The salary range is a good faith estimate based on what a successful candidate might be paid in certain Company locations. All offers presented to candidates are carefully reviewed to ensure fair, equitable pay by offering competitive salaries that align with the individual’s skills, education, experience, training, and geographic location and may be above or below the stated amounts. We’re looking for the best and brightest innovators in the industry to join our team. At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability. Notice for California residents: Information about how we collect and use your personal information can be found here

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