BI Engineering Sr Manager

Job Description

- Develop and execute a strategic BI & visualization roadmap, aligning with business goals, analytics objectives, and digital transformation strategies.
- Lead and mentor BI, analytics, and visualization teams, fostering a culture of innovation, collaboration, and continuous learning.
- Own the end-to-end BI lifecycle, including data modeling, dashboard development, analytics governance, and self-service BI adoption.
- Oversee the implementation of modern BI solutions, leveraging tools like Power BI, Tableau, Looker, Qlik Sense, or similar to deliver high-impact visual insights.
- Define and enforce data visualization best practices, ensuring dashboards are intuitive, user-friendly, and business-focused.
- Drive self-service BI enablement, empowering business users to explore, analyze, and act on data independently while maintaining data security and governance.
- Collaborate with business leaders, data scientists, and engineering teams to identify and prioritize high-value analytics use cases.
- Optimize BI infrastructure and reporting architecture, ensuring scalability, performance, and cost efficiency.
- Establish BI governance frameworks, defining data access controls, security policies, KPI standardization, and metadata management.
- Champion the use of AI/ML-powered BI solutions, enabling predictive analytics, anomaly detection, and natural language-driven insights.
- Monitor BI performance metrics, ensuring reporting solutions meet business SLAs, operational efficiency, and data accuracy.
- Stay ahead of emerging trends in BI, data visualization, and analytics automation, ensuring the company remains competitive in its data strategy.

What we expect of you

- Masters degree and 8 to 10 years of experience in Computer Science, IT or related field OR
- Bachelors degree and 10 to 14 years of experience in Computer Science, IT or related field OR
- Diploma and 14 to 18 years of experience in Computer Science, IT or related field.
- Certifications on PowerBI / Any other visualization tools

Basic Qualifications:

- 10-14 + years of experience in BI, analytics, and data visualization, with at least 5 years in a leadership role.
- Expertise in BI tools, including Power BI, Tableau, Looker, Qlik Sense similar enterprise BI platforms.
- Strong proficiency in data visualization principles, storytelling with data, and dashboard usability best practices.
- Experience in leading large-scale BI transformation initiatives, driving self-service analytics adoption across an enterprise.
- Strong knowledge of data modeling, dimensional modeling (star/snowflake schema), and data warehousing concepts.
- Hands-on experience with SQL, DAX, Power Query (M), or other analytics scripting languages.
- Strong background in BI governance, data security, compliance, and metadata management.
- Ability to influence senior leadership, communicate insights effectively, and drive business impact through BI.
- Excellent problem-solving skills, with a track record of driving efficiency, automation, and data-driven decision-making.

Preferred Qualifications:

- Experience in Biotechnology or pharma industry is a big plus
- Experience with Data Mesh, Data Fabric, or Federated Data Governance models.
- Experience with AI/ML-driven BI solutions, predictive analytics, and NLP-based BI capabilities.
- Knowledge infrastructure & deploayment automation for visualization platforms.
- Experience integrating BI with ERP, CRM, and operational systems (SAP, Salesforce, Oracle, Workday, etc.).
- Familiarity with Agile methodologies and Scaled Agile Framework (SAFe) for BI project delivery.

Soft Skills:

- Excellent analytical and troubleshooting skills.
- Strong verbal and written communication skills
- Ability to work effectively with global, virtual teams
- High degree of initiative and self-motivation.
- Ability to manage multiple priorities successfully.
- Team-oriented, with a focus on achieving team goals.
- Ability to learn quickly, be organized and detail oriented.
- Strong presentation and public speaking skills

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