Power BI Technical Architect (Life Sciences Analytics)
Role Overview
We are seeking an experienced Power BI Technical Architect to lead the design, development, and delivery of enterprise-scale reporting and analytics solutions within the Life Sciences domain. The role will be responsible for end-to-end architecture, solution governance, and delivery leadership across multiple greenfield Power BI initiatives.
The candidate will act as a bridge between business stakeholders, data engineering teams, and reporting developers, ensuring scalable, high-performance, and compliant analytics solutions.
Key Responsibilities
1. E2E Solution Architecture & Design
- Define and govern the end-to-end Power BI architecture, including data ingestion, transformation, semantic modeling, and reporting layers.
- Lead architecture blueprinting, solution design, and technical decision-making across multiple reporting workstreams.
- Ensure alignment with enterprise data warehouse (DWH), ETL pipelines, and integration layers.
- Design scalable, reusable semantic models and datasets to support multiple dashboards and reporting use cases.
2. Power BI Solution Development Oversight
- Oversee development of interactive dashboards, KPI scorecards, and advanced analytics reports using Power BI.
- Ensure adherence to best practices in:
- Data modeling (star/snowflake schemas)
- DAX optimization
- Performance tuning and scalability
- Drive standardization of templates, datasets, and visualization guidelines across reports.
3. Delivery Leadership & Team Management
- Lead and manage cross-functional teams (Power BI developers, data engineers, testers, UX designers).
- Coordinate onsite/offshore delivery and ensure adherence to sprint goals and timelines.
- Provide technical guidance, mentoring, and governance to development teams.
4. Business Engagement & Requirement Alignment
- Collaborate with business stakeholders to:
- Define KPIs and reporting requirements
- Validate business logic and visualization outcomes
- Translate business requirements into functional specifications and technical design artifacts.
- Drive KPI standardization and cross-report consistency across domains.
5. Data Quality, Validation & Testing Governance
- Establish frameworks for:
- Data validation and reconciliation
- UAT coordination and sign-offs
- Ensure consistency between source data, transformation logic, and Power BI outputs.
- Oversee test planning, defect management, and release readiness.
6. Performance Optimization & Scalability
- Identify and resolve performance bottlenecks in:
- Data models
- Queries and report rendering
- Data refresh strategies
- Drive optimization strategies including:
- Aggregation layers
- Efficient data models and query folding
7. Governance, Risk & Compliance
- Establish and enforce architecture standards, security, and access controls.
- Ensure compliance with life sciences data regulations and enterprise policies.
- Perform risk identification and mitigation from a technical standpoint.
8. Program & Stakeholder Management
- Act as a technical liaison between client leadership and delivery teams.
- Support governance forums, status reporting, and executive updates.
- Align solution delivery with overall program milestones and go-live timelines.
Required Skills & Experience
Technical Skills
- Strong expertise in:
- Power BI (Desktop, Service, Fabric)
- DAX, Power Query (M), SQL
- Hands-on experience in:
- Data warehousing (Snowflake/Azure/Synapse)
- ETL/ELT pipelines and data integration
- Semantic modeling and data marts
- Expertise in performance tuning and large-scale reporting systems
Domain Experience
- Experience in Life Sciences / Pharma analytics preferred:
- Commercial analytics
- Sales & marketing reporting
- KPI-driven dashboards
Leadership & Delivery
- Proven experience as:
- BI Architect / Reporting Architect
- Delivery Lead managing multi-stream reporting programs
- Experience managing distributed (onsite-offshore) teams
Methodologies
- Agile/Scrum delivery model
- SDLC, DevOps, release and change management
Preferred Qualifications
- Prior experience in greenfield analytics implementation
Key Success Metrics
- Scalable and performant report delivery
- On-time delivery of reporting releases
- Stakeholder satisfaction and business adoption
- Data accuracy and KPI consistency across reports
*Please note this role is not able to offer visa transfer or sponsorship now or in the future*
We're excited to meet people who share our mission and who can make an impact in a variety of ways. Don't hesitate to apply—even if you only meet the minimum requirements. Think about your transferable experiences and unique skills that make you stand out.
Salary and Other Compensation:
Applications will be accepted until July 16, 2026,
The annual salary for this position is between $ 80,000 - $ 135,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
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