Beghou Consulting

Manager

• Own end-to-end delivery of BI solutions across Tableau and Power BI projects
• Oversee planning, execution, and quality of BI deliverables across multiple workstreams
• Translate business requirements into scalable BI solutions and clear technical specifications
• Review and validate Tableau and Power BI dashboards for accuracy, performance, usability, and visual standards
• Establish and enforce BI development standards, QC checklists, and best practices
• Act as the primary point of contact for BI delivery status, risks, and dependencies
• Support sprint planning, estimations, and delivery timelines for BI initiatives
• Mentor and guide BI developers on Tableau, Power BI, DAX, SQL, and data modeling best practices
• Perform hands-on development for complex dashboards, calculations, and data models when required
• Coordinate UAT, production deployments, and post-release validation
• Partner with data engineering and IT teams to resolve data issues and performance bottlenecks
• Ensure documentation, data definitions, and dashboard logic are maintained
• Identify opportunities for automation, optimization, and advanced analytics
• Communicate effectively with business, product, and leadership stakeholders

Associate Manager, Business Intelligence

Consultant

• This role supports the conceptualization, execution, and integration of data-driven projects for commercial efforts in the pharmaceutical and life sciences industries.
• As a subject matter expert, you will drive innovation and creative solutions within various work streams and provide thought leadership.
• You will lead project teams and play a pivotal role in guiding internal stakeholders toward project success.
• Lead cross-functional project teams in the design and development of high-quality deliverables for clients.
• Provide strategic advice on project direction, resource management, and timelines, while assuming responsibility for key data analytics tasks to support internal teams and clients.
• Collaborate with leadership to define project scope, approach, and development strategies.

Senior Consultant, Data Management

• Lead end-to-end MDM projects focused on HCP, HCO, and payer data for commercial operations.
• Collaborate with internal teams and clients to define project scope, develop strategic approaches, and ensure timely, high-quality delivery.
• Manage client communications, stakeholder expectations, timelines, and deliverables.
• Coordinate with third-party data vendors to establish data exchanges, monitor data quality, and resolve discrepancies.
• Synthesize findings into actionable insights and recommendations for clients, presenting complex technical information with clarity and impact.
• Lead internal initiatives related to product development, process improvement, and team growth.
• Provide mentorship and professional development support to junior team members; act as a Professional Development Manager where applicable.
• Foster an inclusive and innovative team culture, collaborating with cross-functional teams—including global teams—across multiple time zones.

Senior Consultant, Master Data Management

Data Engineer

• This role is responsible for building, optimizing and supporting Beghou’s AI forward data platform.
• This role requires hands on development in Databricks, Python/Pyspark and cloud environments (AWS or Azure), while adhering to software engineering, CI/CD and security best practices.

Recruitment

• Support the organization’s staffing needs by efficiently managing resource requests and aligning talent with project requirements.
• Coordinate global resource assignments and ensure optimal alignment of skills, availability, and project demands.
• Work closely with key stakeholders to ensure client projects are staffed appropriately.
• Understand the skills and experiences of the consultants for appropriate project allocations.
• Maintain an accurate resource management system, reviewing staffing allocations versus actuals to minimize revenue leakage.
• Track missing timesheets to ensure compliance and accurate reporting of key KPIs.
• Pull, analyze, and interpret billings, resource capacity, and forecasting data.
• Assist in preparing PowerPoint presentations for key meetings.

Staffing Specialist

Operations

• Lead cross-functional project teams in the design and development of high-quality deliverables for clients.
• Provide strategic advice on project direction, resource management, and timelines, while assuming responsibility for key data analytics tasks to support internal teams and clients.
• Collaborate with leadership to define project scope, approach, and development strategies.
• Analyze data, synthesize findings, and develop actionable insights, communicating results to both internal and external teams.
• Independently manage projects, handling client communications, meeting facilitation, and timelines, serving as a primary point of contact with minimal oversight.
• Develop and optimize data processes, utilizing coding where necessary to facilitate efficient data handling and reporting.
• Coordinate with global and diverse teams to ensure seamless project execution.
• Engage in business development activities and contribute to internal firm initiatives to drive organizational growth.
• Provide mentorship and guidance to junior team members, overseeing their professional development and encouraging continuous improvement and innovation within the team.

Senior Consultant, Commercial Operations & Analytics

• Collaborate with Senior Consultant(s) to understand client vision, strategic objectives, and launch requirements.
• Conduct business analysis: identify readiness gaps, collect and synthesize data, and perform market/competitive/operational assessments.
• Lead smaller workstreams: build draft recommendations, roadmaps, and deliverables for review and refinement by senior leadership.
• Engage with executive-level stakeholders, asking incisive questions to clarify goals, risks, and success metrics.
• Identify areas of misalignment across client functions, proactively flag issues, and either (a) convene the right stakeholders to work through them or (b) raise to consulting/client leadership for resolution.
• Build strong, trust-based relationships with client teams; act as a people-savvy connector across functions.
• Translate vision into a clear path forward: define timelines, priorities, dependencies, and resource needs.
• Draft and deliver high-quality communications (presentations, reports, trackers) to internal and client-facing audiences.

Launch Consultant

Backend Engineer

• Lead and mentor a team of 5-10 .NET developers, promoting technical excellence and professional growth
• Architect and design scalable, high-performance applications using .NET Core/.NET 8+ and C#
• Drive technical decisions on Microsoft frameworks, design patterns, and architectural approaches
• Establish and enforce coding standards, best practices, and code review processes across the Microsoft stack
• Collaborate with Product Management and stakeholders to translate business requirements into technical solutions
• Oversee the design and implementation of RESTful APIs, microservices, and distributed systems using ASP.NET Core
• Champion DevOps practices using Azure DevOps for CI/CD pipelines, automated testing, and infrastructure as code
• Manage and optimise SQL Server databases, including performance tuning, indexing strategies, and data modelling
• Identify technical debt, performance bottlenecks, and drive continuous improvement initiatives
• Participate in Agile ceremonies and contribute to sprint planning, estimation, and delivery
• Stay current with .NET and Microsoft ecosystem advancements and evaluate emerging technologies

Team Lead – .NET Core

• Provide advanced analytical support to external clients and internal stakeholders on high-complexity analytical projects/initiatives.
• Lead the India-based delivery team in executing all business-related tasks and activities with excellence.
• Utilize structured project management approaches to deliver client deliverables with appropriate documentation and communication.
• Collaborate closely within engagement teams and with clients to conduct high-quality analysis and develop innovative recommendations.
• Take ownership of project/s, ensuring high-quality delivery, timeliness, and client satisfaction.
• Develop and manage internal and external relationships, fostering collaboration and driving business growth.
• Contribute to the enhancement of existing services and deliverables, driving innovation within the organization.
• Drive design and enhancement of existing services/deliverables.
• Support Beghou leadership in pursuing new business development opportunities.
• Participate in firm-level initiatives to strengthen the India practice, including onboarding, training, and mentoring of team members.
• Develop and maintain knowledge repositories within specific function/therapeutic areas.

Associate Consultant – Advanced Analytics

• Own end-to-end delivery of BI solutions across Tableau and Power BI projects
• Oversee planning, execution, and quality of BI deliverables across multiple workstreams
• Translate business requirements into scalable BI solutions and clear technical specifications
• Review and validate Tableau and Power BI dashboards for accuracy, performance, usability, and visual standards
• Establish and enforce BI development standards, QC checklists, and best practices
• Act as primary point of contact for BI delivery status, risks, and dependencies
• Support sprint planning, estimations, and delivery timelines for BI initiatives
• Mentor and guide BI developers on Tableau, Power BI, DAX, SQL, and data modeling best practices
• Perform hands-on development for complex dashboards, calculations, and data models when required
• Coordinate UAT, production deployments, and post-release validation
• Partner with data engineering and IT teams to resolve data issues and performance bottlenecks
• Ensure documentation, data definitions, and dashboard logic are maintained
• Identify opportunities for automation, optimization, and advanced analytics
• Communicate effectively with business, product, and leadership stakeholders

Assistant Manager – Business Intelligence, BI

Frontend Engineer

• Lead and mentor a team of 4-8 React developers, fostering technical growth and best practices
• Architect and design scalable, maintainable React applications with a focus on performance and user experience
• Drive technical decisions on frameworks, libraries, and tooling (React ecosystem, state management, build tools)
• Conduct code reviews, establish coding standards, and ensure code quality across the team
• Collaborate with Product and UX teams to translate requirements into technical specifications
• Identify and resolve complex technical challenges, performance bottlenecks, and architectural issues
• Drive adoption of modern development practices, including CI/CD, testing strategies, and DevOps principles
• Stay current with React ecosystem trends and evaluate new technologies for potential adoption

Tech Lead – React

Cloud Engineer

• Develop and maintain the strategic roadmap for Beghou’s internal cloud environments that support client-facing applications, APIs, and analytics workloads.
• Architect and evolve secure, scalable, and resilient multi-cloud infrastructure leveraging AWS and Azure native services.
• Establish platform governance, operational standards, and automation frameworks for consistent, compliant, and cost-effective cloud operations.
• Partner with Information Security, Data Engineering, and IT teams to align infrastructure architecture with compliance (e.g., SOC 2, HIPAA) and data protection policies.
• Evaluate and implement new technologies to improve platform performance, reliability, and developer efficiency.
• Manage and mentor a team of Cloud Engineers and DevOps professionals, ensuring high-quality delivery and adherence to best practices.
• Provide technical leadership for cloud operations, automation, and security initiatives.
• Foster a culture of accountability, collaboration, and continuous improvement within the engineering team.
• Oversee cloud operations supporting production and client environments, ensuring uptime, observability, and reliability.
• Implement and maintain monitoring, alerting, and incident response frameworks for proactive risk management.

Associate Manager, Cloud Engineering

• Oversees and develops MDM projects to ensure methodological soundness; consistently delivers quality client services and drives high-quality work products within expected timeframes and on budget.
• Leads project teams in the design and development of MDM projects, including the design and configuration of internal MDM platform and creation of MDM specific deliverables.
• Advises on strategy, team resources, and deadlines, and assumes data investigation and platform configuration tasks as necessary to support internal team and clients.
• Works with project leadership to define project scope and development approach for each project, including conducting issue analysis and hypothesis development.
• Synthesizes findings, develops recommendations, and communicates results to clients and internal teams.
• Assumes project management responsibilities for MDM implementation on each project with minimal supervision, including managing client communication, leading meetings, drafting agendas, managing timelines and serving as a regular point of contact for clients.
• Works independently or with a team to build out data processes.
• Coordinates with diverse teams, including those globally.
• Frequently utilizes coding to facilitate data processing and reporting.
• Provides project leadership for team members regarding process improvements, planned approaches for client requests, or transition of new deliverables.
• Monitors progress, manages risk and ensures key stakeholders are kept informed about progress and expected outcomes; manages project finances by maintaining financial summaries, drafts SOWs for new work, and manages client invoices.
• Assists in supporting management, including promoting employee engagement, recruiting, training, and providing ongoing education, employee mentorship and coaching; contributes to internal initiatives as needed.
• Fosters an innovative and inclusive team-oriented work environment.
• Coaches and mentors junior team members on their professional development and serves as their Professional Development Manager.
• Grows external client engagements, owning aspects of the relationship between the client and the firm.

Manager, Master Data Management – MDM

• Lead end-to-end MDM projects focused on HCP, HCO, and payer data for commercial operations.
• Collaborate with internal teams and clients to define project scope, develop strategic approaches, and ensure timely, high-quality delivery.
• Serve as the primary point of contact for client communications, managing stakeholder expectations, timelines, and deliverables.
• Coordinate with third-party data vendors to establish data exchanges, monitor data quality, and resolve discrepancies.
• Manage project budgets, draft Statements of Work (SOWs), and oversee client invoicing and financial summaries.
• Synthesize findings into actionable insights and recommendations for clients, presenting complex technical information with clarity and impact.
• Lead internal initiatives related to product development, process improvement, and team growth.
• Provide mentorship and professional development support to junior team members; act as a Professional Development Manager where applicable.
• Foster an inclusive and innovative team culture, collaborating with cross-functional teams—including global teams—across multiple time zones.

Associate Manager, Master Data Management – MDM

Data Scientist

• Lead and mentor a team of data scientists, providing guidance and support in project execution, methodology selection, and professional development.
• Collaborate with stakeholders to define project objectives, deliverables, and success criteria, ensuring alignment with business goals and priorities.
• Design and implement advanced analytics solutions to address complex challenges in drug discovery, clinical development, and commercialization.
• Apply machine learning techniques, including deep learning and generative AI, to analyze diverse datasets (structured and unstructured) and generate actionable insights.
• Drive innovation by staying abreast of emerging trends, technologies, and best practices in data science and the pharmaceutical industry.
• Establish robust processes for data collection, preparation, and validation, ensuring the reliability and integrity of analytical models and findings.
• Communicate findings and recommendations to technical and non-technical stakeholders through clear, compelling visualizations, presentations, and reports.
• Collaborate with IT and data engineering teams to optimize data infrastructure and facilitate seamless integration of analytics solutions into existing systems.
• Participate and contribute to thought leadership through active innovation, research and publication.
• Own project management and provide guidance to project teams of junior team members.