Ian Oommen

Responsibilities:

• Manage all Pricing data assets and technology for federal government proposals.
• Develop and implement data visualization tools using Tableau and Power BI to aid senior leadership and internal staff in understanding pricing trends and submission patterns.
• Lead a cross-functional team comprising members from Pricing, Contracts, and Procurement analytic departments to streamline data analytics processes.
• Collaborate with senior leadership to provide actionable insights for strategic decision-making.
• Oversee the integration and maintenance of data systems to ensure accuracy and reliability of pricing data.

Achievements:

• Championed a culture of continuous improvement by staying current on industry trends and incorporating new technologies where appropriate.
• Evaluated potential software solutions against established criteria, recommending options that met organizational needs most effectively.
• Successfully developed and deployed multiple interactive dashboards that improved visibility into pricing trends, resulting in more informed decision-making by senior leadership.
• Led a team initiative that improved data integration processes, reducing the time required for data preparation by 30%.
• Enhanced the accuracy of pricing submissions through the implementation of advanced data validation techniques, leading to a 20% reduction in submission errors.
• Recognized for driving innovation in data analytics and technology within the Pricing department, contributing to increased efficiency and effectiveness.

• Collaborated with clients from various industries, including tech and healthcare, to deliver data-driven insights and solutions.
• Conducted in-depth data analysis, applying statistical techniques and data mining to identify trends, patterns, and actionable recommendations.
• Developed and presented comprehensive reports and visualizations to effectively communicate findings and strategic recommendations to clients.
• Led cross-functional teams in executing data analytics projects, ensuring successful project delivery within established timelines and budgets.
• Provided expertise in data strategy, governance, and management, assisting clients in developing frameworks and processes for data quality and integrity.
• Acted as a trusted advisor to clients, building and maintaining strong relationships through exceptional service delivery and client satisfaction.
• Contributed to thought leadership initiatives within the field of data analytics, staying abreast of industry trends and advancements.
• Played a key role in business development efforts, including proposal writing, client presentations, and identifying opportunities for additional value-added services.
• Demonstrated strong project management skills, effectively balancing multiple projects and priorities while delivering high-quality results.

• Developed and executed a strategic roadmap for Meta's data privacy program.
• Ensured compliance with global data privacy regulations and industry standards.
• Collaborated with cross-functional teams to integrate privacy considerations into product development and business processes.
• Developed and refined privacy policies, procedures, and guidelines.
• Delivered privacy training programs and raised awareness of privacy initiatives.
• Established governance frameworks to monitor and evaluate privacy controls and incident response.
• Engaged with external stakeholders and advocated for responsible data practices.
• Upheld Meta's commitments to privacy and user data protection.
• Drove ongoing improvement and innovation in privacy practices.

• Led and managed data programs and projects, ensuring successful delivery within scope, budget, and timeline.
• Collaborated closely with cross-functional teams, including engineering, product management, and quality assurance, to drive project execution and achieve business objectives.
• Developed and maintained comprehensive project plans, defining milestones, deliverables, and resource allocation to ensure effective project management.
• Implemented Agile methodologies, such as Scrum, to drive iterative development, facilitate communication, and streamline project workflows.
• Acted as a key point of contact for stakeholders, facilitating effective communication, managing expectations, and providing regular project updates.
• Employed strong technical acumen to navigate complex technical requirements, dependencies, and risks, proactively addressing challenges and mitigating potential issues.
• Oversaw end-to-end project lifecycle, from requirements gathering and solution design to testing, deployment, and post-launch support.
• Worked closely with clients to understand their needs, align project objectives with business goals, and ensure client satisfaction.
• Managed vendor relationships, including contract negotiation, performance monitoring, and issue resolution, to support project delivery and ensure quality standards.
• Provided leadership, mentorship, and guidance to project teams, fostering a collaborative and high-performing work environment.

• Led a team of data analysts and oversaw the data analytics function, driving data-driven decision-making and supporting strategic initiatives within the healthcare association.
• Developed and implemented data analytics strategies and frameworks, aligning them with organizational goals and objectives.
• Collaborated with stakeholders, including executives, department heads, and healthcare professionals, to understand their data needs and deliver actionable insights to support informed decision-making.
• Managed the collection, processing, and analysis of complex healthcare data, ensuring data integrity, accuracy, and compliance with relevant regulations.
• Utilized advanced analytics techniques, such as predictive modeling, statistical analysis, and data mining, to identify trends, patterns, and opportunities for process improvement and cost reduction.
• Developed and delivered comprehensive reports, dashboards, and visualizations to effectively communicate data insights to diverse audiences, enabling data-driven decision-making at all levels.
• Led the implementation of data governance practices and standards, establishing data quality guidelines and ensuring data privacy and security.
• Stayed abreast of industry trends, emerging technologies, and best practices in healthcare analytics, continuously seeking opportunities to enhance data analytics capabilities.
• Collaborated with IT teams to optimize data infrastructure, tools, and systems, supporting efficient data management and analytics processes.
• Fostered a culture of data-driven decision-making and promoted data literacy within the organization through training and knowledge sharing initiatives.

• Led a team of data analysts and provided guidance, mentorship, and technical expertise to drive data analysis and reporting initiatives within the healthcare association.
• Developed and implemented data analysis strategies, methodologies, and best practices to ensure accurate and insightful reporting.
• Conducted comprehensive data analysis and interpretation, utilizing statistical techniques, data mining, and visualization tools to identify trends, patterns, and actionable insights.
• Collaborated with cross-functional teams, including IT, clinical staff, and executives, to define data requirements and deliver meaningful reports and dashboards.
• Managed the collection, integration, and validation of diverse healthcare datasets, ensuring data integrity, quality, and compliance with privacy regulations.
• Designed and implemented data models, databases, and data structures to optimize data storage, retrieval, and analysis processes.
• Developed and automated data extraction, transformation, and loading (ETL) processes, streamlining data acquisition and preparation for analysis.
• Provided data-driven recommendations to inform strategic decision-making, process improvement, and cost optimization initiatives.
• Presented findings and insights to stakeholders in a clear and concise manner, enabling data-driven decision-making at all levels of the organization.
• Stayed abreast of industry trends, emerging technologies, and best practices in healthcare analytics, continuously enhancing data analysis capabilities.
• Collaborated with teams to identify and implement data governance practices, ensuring data privacy, security, and adherence to industry standards.

• Conducted comprehensive research and analysis on healthcare industry trends, policy changes, and regulatory developments to provide valuable insights to the association.
• Gathered and analyzed data from various sources, including government databases, industry reports, and academic studies, to support evidence-based decision-making.
• Developed and maintained databases, data models, and research repositories to organize and manage large volumes of healthcare data.
• Utilized statistical techniques and data visualization tools to present research findings in a clear and impactful manner, facilitating data-driven discussions and strategic planning.
• Collaborated with cross-functional teams, including policy analysts, subject matter experts, and executives, to support the development of advocacy positions and policy recommendations.
• Prepared and presented research reports, white papers, and presentations to internal and external stakeholders, including government agencies, industry partners, and association members.
• Conducted in-depth literature reviews and synthesized complex information into concise and actionable summaries.
• Stayed up-to-date with industry trends, healthcare regulations, and research methodologies to ensure the relevance and accuracy of research outputs.
• Assisted in the coordination and execution of research projects, including data collection, survey administration, and analysis.
• Supported the association's strategic initiatives by providing research-based insights and recommendations for improving healthcare delivery and patient outcomes.