Beghou Consulting

Operations

• Lead cross-functional project teams in designing and developing high-quality client deliverables
• Provide strategic advice on project direction, resource management, and timelines
• Perform key data analytics tasks supporting internal teams and clients
• Collaborate with leadership to define project scope, approach, and development strategies
• Analyze data, synthesize findings, and develop actionable insights
• Communicate results to internal and external teams
• Independently manage projects, client communications, meetings, and timelines
• Serve as a primary client contact with minimal oversight
• Develop and optimize data processes, using coding where necessary for efficient data handling and reporting
• Coordinate with global and diverse teams for seamless project execution
• Participate in business development activities and internal firm initiatives
• Mentor and guide junior team members and oversee their professional development
• Drive innovation and provide thought leadership across work streams

Senior Consultant – Commercial Operations, Analytics

Consultant

• Drive personal and team-member efforts across all phases of the project lifecycle
• Oversee and develop Data Warehouse projects to ensure methodological soundness and timely, high-quality client deliverables
• Assist in designing data models that reflect business needs and support analytical objectives
• Partner with project and program leads on project delivery and project-management responsibilities, including project plans and risk mitigation
• Develop and maintain documentation for data warehouse architecture, ETL processes, and system configurations
• Participate in design reviews and code reviews to ensure data warehousing quality standards and best practices
• Foster collaboration with onshore and offshore team members
• Lead task planning and distribution, ensure timely completion, and report accurate status to the project lead
• Mentor and coach junior team members
• Oversee direct and indirect client communications based on assigned responsibilities
• Analyze problem statements and client requirements to design and implement complex solutions using programming languages and ETL platforms
• Learn new technologies, business domains, and project-management processes
• Provide project leadership for process improvements, planned approaches for client requests, and transitions of new deliverables

Associate Consultant – MDM

Associate

• Undertake primary ownership in driving self and team member efforts across all phases of a project lifecycle
• Oversee and develop Data Warehouse projects to ensure methodological soundness and deliver quality client deliverables within expected timeframes
• Assist in designing data models that reflect business needs and support analytical objectives
• Partner with Project/Program Leads on project delivery and project management responsibilities, including project plans and risk mitigation
• Develop and maintain documentation for data warehouse architecture, ETL processes, and system configurations
• Participate in design and code reviews to ensure adherence to quality standards and data warehousing best practices
• Foster collaboration with onshore and offshore team members
• Lead task planning and distribution, ensure timely high-quality completion, and report accurate status to the project lead
• Mentor and coach junior team members
• Oversee direct and indirect client communications based on assigned responsibilities
• Analyze client requirements and design and implement complex solutions using programming languages and ETL platforms
• Provide project leadership regarding process improvements, planned approaches for client requests, and transitions of new deliverables
• Foster continuous improvement and innovation while learning new technologies, business domains, and project management processes

Associate - MDM

• Oversee the development of client proposals and ensure methodological soundness
• Ensure projects meet quality standards and are delivered on time and within budget
• Build and enhance complex reports, online tools, and data processes
• Perform advanced analyses and communicate insights effectively to clients
• Use SAS, Python, and VBA to facilitate data processing and reporting
• Drive external client engagements and own key aspects of client relationships
• Monitor project progress, manage risks, and keep stakeholders informed
• Manage project financial aspects, including drafting SOWs and managing invoices
• Identify firm growth opportunities and create action plans for new offerings and improved best practices
• Lead and mentor diverse teams
• Contribute to employee engagement, recruitment, training, management initiatives, and ongoing education

Associate Manager, Commercial Operations, Analytics

• Drive self and team members’ efforts across all phases of the project lifecycle
• Oversee and develop Data Warehouse projects to ensure methodological soundness and deliver quality client deliverables within expected timeframes
• Assist in designing data models that reflect business needs and support analytical objectives
• Partner with Project or Program leads on project delivery and project management responsibilities, including project plans and risk mitigation
• Develop and maintain documentation for data warehouse architecture, ETL processes, and system configurations
• Participate in design reviews and code reviews to ensure adherence to data warehousing quality standards and best practices
• Collaborate with onshore and offshore team members for effective task execution
• Lead task planning and distribution, ensure timely high-quality completion, and report accurate status to the project lead
• Mentor and coach junior team members
• Oversee direct and indirect client communications based on assigned project responsibilities
• Foster continuous improvement and innovation while learning new technologies, business domains, and project management processes
• Analyze problem statements and client requirements to design and implement complex solutions using programming languages and ETL platforms
• Undertake challenging problems and demonstrate effective task management
• Provide project leadership on process improvements, approaches for client requests, and transition of new deliverables

Consultant – MDM

Software Engineer

• Architect and design production applications on the Databricks platform
• Drive technical decisions on application patterns, security, and performance
• Build and optimise data pipelines using Databricks Workflows and Delta Lake
• Establish coding standards, best practices, and code review processes
• Configure Unity Catalogue for data governance and access management
• Oversee cloud security, service principals, and permissions strategy
• Own application monitoring, performance tuning, and cost optimisation
• Lead and mentor a team of 1-2 Databricks developers
• Collaborate with stakeholders to translate requirements into technical solutions
• Participate in Agile ceremonies and contribute to sprint planning and delivery

Lead Developer – Databricks

• Support the conceptualization, execution, and integration of data-driven projects for pharmaceutical and life sciences commercial efforts
• Drive innovation and creative solutions as a subject matter expert
• Provide thought leadership across work streams
• Lead cross-functional project teams in designing and developing high-quality client deliverables
• Advise on project direction, resource management, timelines, scope, approach, and development strategies
• Perform data analytics tasks for internal teams and clients
• Analyze data, synthesize findings, and develop actionable insights
• Communicate results to internal and external teams
• Independently manage projects, client communications, meetings, and timelines as a primary point of contact
• Develop and optimize data processes, using coding for efficient data handling and reporting
• Coordinate with global and diverse teams
• Participate in business development and internal firm initiatives
• Mentor and guide junior team members and support their professional development

Manager

• Oversee and develop Data Management projects, ensuring methodological soundness, quality client services, timely delivery, and budget adherence
• Lead project teams in the design and development of Data Management projects
• Advise on strategy, team resources, and deadlines; perform data investigation and platform configuration as needed
• Define project scope and development approaches, conduct issue analysis, and develop hypotheses
• Synthesize findings, develop recommendations, and communicate results to clients and internal teams
• Manage DM/MDM implementations, including client communication, meetings, agendas, timelines, and regular client contact
• Build and improve data processes independently or with a team
• Coordinate with diverse global teams
• Use coding to facilitate data processing and reporting
• Provide project leadership on process improvements, client requests, and new deliverables
• Monitor progress, manage risk, inform stakeholders, and manage project finances, SOWs, and client invoices
• Support management through employee engagement, recruiting, training, education, mentorship, and coaching
• Foster an innovative and inclusive team-oriented environment
• Coach and mentor junior team members and serve as their Professional Development Manager
• Grow external client engagements and own aspects of client-firm relationships

Manager – Commercial Data Management, Life Sciences

• Lead and manage operations for ongoing life sciences/pharma client engagements
• Provide project leadership for ongoing operations, process improvements, client requests, and new deliverables
• Oversee and develop proposals for methodological soundness and high-quality client services
• Support project execution and delivery
• Build and plan complex enhancements to reports, online tools, and data processes
• Serve as a subject matter expert on life sciences industry trends and analytical best practices
• Direct data processing and analytics teams producing executive dashboards, field reports, triggered alerts, and scorecards
• Use coding to facilitate data processing, analytics, and reporting
• Grow external client engagements and own client-firm relationships
• Identify firm growth opportunities and develop action plans, new offerings, best-practice improvements, and practice areas
• Monitor progress, manage risk, communicate with stakeholders, and manage project finances, SOWs, and invoices
• Lead, motivate, train, and mentor diverse global teams
• Foster an innovative and inclusive team-oriented work environment
• Support employee engagement, recruiting, training, education, mentorship, and coaching initiatives

Manager – Commercial Operations, Analytics

Engineering Manager

• Work with project teams to understand application requirements
• Translate requirements into Mainsail configuration tasks
• Provide cost and timing estimates
• Track project tasks and timelines
• Communicate status updates to stakeholders
• Recommend improvements to the configuration process
• Participate in training and support junior configuration team members
• Provide guidance and oversight on configuration tasks involving Microsoft SQL Server data models, stored procedures, table-valued functions, and triggers
• Oversee Mainsail UI/UX JavaScript/CSS customization of application behavior
• Design and implement complex configuration tasks
• Independently research system capabilities and consult in-house or third-party experts
• Provide technical support as needed

Associate Manager, Software Development

• Lead and manage operations for ongoing client engagements for life sciences/pharma clients
• Provide project leadership on operations, process improvements, client requests, and transition of new deliverables
• Oversee and develop proposals to ensure methodological soundness and high-quality client services
• Support project execution and delivery
• Build and plan complex enhancements to reports, online tools, and data processes
• Serve as a subject matter expert on life sciences industry trends and analytical best practices
• Direct data processing and analytics teams producing executive dashboards, field reports, triggered alerts, and scorecards
• Use coding to facilitate data processing, analytics, and reporting
• Grow external client engagements and own client-firm relationships
• Identify firm growth opportunities and create action plans for new offerings, best-practice improvements, and new practice areas
• Monitor progress, manage risk, inform stakeholders, and manage project finances including financial summaries, SOWs, and invoices
• Lead and motivate diverse and global teams
• Train and mentor team members
• Foster an innovative, inclusive, team-oriented work environment
• Support employee engagement, recruiting, training, education, mentorship, and coaching initiatives

• Provide analytical and business support to clients and internal stakeholders on complex projects and strategic initiatives
• Lead and coordinate project execution activities, ensuring timely and high-quality delivery
• Structure ambiguous business problems into defined workstreams and manage them through to completion
• Conduct and oversee analysis using relevant data sources and tools
• Ensure quality and accuracy of analytical outputs
• Develop client-ready presentations, written recommendations, dashboards, and reports
• Manage day-to-day client communication, including status updates, scope discussions, and issue resolution
• Manage multiple projects simultaneously while maintaining quality, timelines, and client satisfaction
• Build and maintain relationships with internal leadership, cross-functional teams, and external stakeholders
• Support process improvement, reporting enhancement, and operational efficiency initiatives
• Contribute to business growth initiatives, knowledge-sharing activities, and organizational development programs
• Review the work of Associate Consultants and provide guidance to support their development

Senior Consultant – Commercial Operations, Analytics

Associate Consultant – MDM

Associate - MDM

Associate Manager, Commercial Operations, Analytics

Consultant – MDM

Lead Developer – Databricks

Senior Consultant – Commercial Operations, Analytics

Manager – Commercial Data Management, Life Sciences

Manager – Commercial Operations, Analytics

Associate Manager, Software Development

Manager – Commercial Operations, Analytics

Consultant – Generalist