Director - Product Owner (Pharma)

The Director - Product Owner at Tiger Analytics will engage with client stakeholders to translate business challenges into high-level analytics solutions. Responsibilities include leveraging advanced analytics methodologies, managing Data Science products for Commercial Analytics, and providing actionable insights. The role also entails presenting advanced analytics solutions to both senior management and business teams.

Candidates must possess a graduate degree in Business Analytics or an MBA, coupled with 12-18 years of professional work experience, including at least 7 years dedicated to data analytics. Strong project management, team management skills, and expertise in SQL, R, Python, and visualization tools such as Tableau or Qlik are also essential.

The Director - Product Owner role directly influences business value by designing and implementing data-driven solutions that solve complex problems in the Pharma sector. By utilizing advanced analytics techniques, this position facilitates informed decision-making and strategic growth opportunities for clients, ultimately leading to increased ROI and improved business outcomes.

In this position, proficiency with R, Python, Databricks, and visualization tools like PowerBI, Qlik, or Tableau is essential. Familiarity with statistical and machine learning algorithms, and commercial analytics methodologies such as Marketing Mix Modeling and predictive analytics will also be advantageous.

As Tiger Analytics continues to grow, this role offers unique career development opportunities that range from professional advancement and skill enhancement to leadership roles. The dynamic, entrepreneurial environment fosters individual responsibility and encourages professional growth in both analytics and consulting domains.

Absolutely! Advanced analytics plays a pivotal role in the Pharma sector by driving insights from vast datasets to inform clinical and commercial decisions. In this role, you'll use analytics methodologies to interpret data patterns, assess market strategies, and optimize marketing efforts to improve patient outcomes and business performance.

To effectively translate a business problem into an analytics solution, I would start by engaging with key stakeholders to fully understand their objectives and pain points. Then, I would assess the available data sources, identify relevant analytics methodologies, and propose a structured approach that aligns with the clients’ goals, ensuring clarity and feasibility throughout the process.

I have extensive experience using tools like Tableau and PowerBI to create compelling visual narratives from complex datasets. In previous roles, I utilized these tools to develop dashboards that provided real-time insights for stakeholders, facilitating informed decision-making and enhancing strategy discussions.

One notable project involved implementing predictive analytics for a leading Pharmaceutical client. By employing machine learning algorithms, we analyzed patient-level data to identify trends in medication adherence, ultimately leading to a targeted intervention strategy that increased adherence rates and improved patient outcomes significantly.

I focus on simplifying the messaging without diluting the technical content. Using clear visuals, relatable analogies, and structured storytelling helps in delivering insights effectively. I also encourage questions and discussions, fostering an environment where stakeholders feel empowered to engage with the analytics.

I prioritize tasks by assessing urgency and impact, using project management tools to keep track of progress. Regular check-ins with my team ensure alignment and prompt adjustment of priorities based on shifting project demands or stakeholder feedback, fueling efficiency in the project lifecycle.

Absolutely! In one instance, my analysis of marketing campaign data led to a strategic pivot in targeting that increased engagement rates by 30%. I presented these insights, supported by robust data visualizations to senior management, demonstrating the direct correlation between our adjustments and improved outcomes.

A common challenge has been managing disparate data sources. I overcame this by developing a robust framework for data integration and ensuring clear communication with IT and engineering teams. This collaborative approach minimized delays and enhanced our ability to derive actionable insights from the combined datasets.

I am committed to continuous learning through webinars, conferences, and online courses. Engaging with the analytics community through forums and reading industry publications also keeps me updated with emerging trends and innovations, which I then integrate into my work.

I am motivated by the challenge of solving complex problems and the transformative power of data. In this role, I see the opportunity to make a substantial impact on clients’ success while fostering a culture of innovation and teamwork within the organization, creating an environment where impactful solutions thrive.