A forward-thinking Data & Insights Lead who is passionate about healthcare and data-driven innovation, translating business questions into rigorous analysis and practical recommendations to strengthen commercial performance.
Responsibilities
Lead and develop the Data Team, setting priorities, ways of working and quality standards around high-impact business questions.
Turn business challenges into analytics priorities and actionable insights that support customer excellence and commercial outcomes.
Advance reporting and commercial analytics: encourage adoption of global visualization tools, transition appropriate Excel reporting to Power BI, and apply consistent data-modeling and design standards.
Bring together sales, market-share, customer, competitor and field data to help brand teams understand trends, opportunities and risks.
Strengthen omnichannel and CRM analytics by maintaining customer-data structures and assessing HCP reach, engagement, content and channel effectiveness across personal and digital channels.
Lead the technical vision, architecture and roadmap for the MarTech platform, build AI-first systems, mentor team, and drive integrations and data pipelines.
Locations (2)
Menlo Park, California, United States
New York, New York, United States
Compensation
Base Pay Range:
Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)
$166,000—$195,000 USD
Responsibilities
Own the technical vision, architecture and roadmap for the MarTech platform
Design & build AI first systems to streamline operations
Set the standard for how marketing data is modeled, governed and moved between tools
Partner with Marketing, product, data engineering and data science leaders to translate business goals into scalable, privacy-first technical solutions
Lead the design and delivery of complex integrations, custom scripts and pipelines
Lead data literacy initiatives to accelerate adoption of enterprise data and analytics capabilities across a global organization.
Responsibilities
Own the specialist roadmap and set standards, backlog and delivery plan for data literacy initiatives
Set adoption and enablement plan, identify impacted audiences, readiness risks and required interventions
Embed new ways of working by partnering with leaders and users to integrate data and analytics into roles, routines, decisions and performance conversations
Coordinate activation, reuse enterprise assets, orchestrate product and local stakeholders, and tailor where necessary
Measure and improve adoption by tracking reach, proficiency, usage, behavior change and value; diagnose gaps and drive corrective action
Requirements
Bachelor's degree or equivalent professional experience in a relevant business, data, technology, engineering or design discipline
Nice to have: experience in consumer goods
Nice to have: experience in retail
Nice to have: experience in complex multi-market enterprise
Nice to have: experience with modern cloud data platforms
The Data Architect is a highly skilled data professional responsible for designing, developing, and implementing scalable data architecture solutions that support enterprise reporting, analytics, and business intelligence initiatives.
Responsibilities
Design, implement, and evolve AEI’s Enterprise Data Architecture, ensuring alignment with current and future business needs across operational reporting, BI, advanced analytics, machine learning, and AI-enabled data products.
Serve as the custodian of end-to-end data architecture and data lineage, ensuring traceability from source systems through transformation layers to business consumption.
Work closely with Data Engineering teams to establish robust, scalable, and reusable data ingestion and integration frameworks for enterprise data sources.
Establish and maintain enterprise data models, metadata standards, data lineage practices, and governance frameworks to enable consistent, governed, and reusable data products.
Provide technical leadership, architecture reviews, and mentorship to Data Engineers, ensuring compliance with enterprise architecture principles and best practices supporting BI, advanced analytics, machine learning, and AI workloads.
Lead regulatory and legal operations across Payments, UPI, Credit Cards, and Lending products, translating RBI, TRAI, and judicial requirements into actionable compliance programmes.
Responsibilities
Contract management and vendor compliance
Manage diverse litigation matters, including civil, consumer, labor, and taxation cases
Draft and manage responses to legal notices, court orders, and consumer disputes
Establish a detailed compliance framework specifically for credit and lending operations
Direct the operational setup for co-branded credit card initiatives
Director, AI Transformation – an individual‑contributor technical leader responsible for defining and driving HTCS AI strategy and delivering enterprise AI solutions.
Responsibilities
Define and drive HTCS AI strategy, technology roadmap, operating model, and portfolio of AI opportunities
Lead AI programs from opportunity identification to deployment, adoption, scaling and sustainment
Provide technical direction across generative AI, machine learning, intelligent automation, data analytics, copilots and knowledge assistants
Partner with stakeholders to translate complex problems into clear AI use cases, solution architectures, delivery plans and success criteria
Hands‑on lead the deployment of AI solutions within the organization, including pilots, production rollouts, integration with enterprise platforms, monitoring, support and continuous improvement
Requirements
Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Machine Learning, Data Science, Information Systems or related technical discipline
Master's degree in a relevant technical discipline or business administration (preferred)
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