Director, Data Product Management

Key Responsibilities

• Setthe vision and strategy for data productsin givendomains guided by a clear understanding of business value and customer needs ultimatelytranslatingtheseneeds as input into the designbuildand iteration of dataproducts.

• Createmaintainand owndata product roadmaps leading the ongoing delivery and management of the product frominceptionto maturity

• Own and manage feature backlogs teaming with architects analysts and engineers to elaborate requirements.This will also includetimelyreversal of technical debt.

• Identifyand manage partnershipsto ensure innovative capabilitiesatthe intersection of data sciencetechnologyand healthcare.

• Lead cross-functional teams fromideationto launchofdata productsensuring coordination between data platformssolution architectureinformationarchitectureand data governanceso that the final product meetsbusinesstechnicaland regulatory requirements.

• Champion agile iterative development processes while also ensuring data products are Findable Accessible Interoperable and Reusable

• Managedependencies in and across releases to complete release phases and milestones.

• Communicate effectively with the business leaders whose operations areimpactedbydata productsand the programming surroundingthem.

• Act as the voice of the business to prioritize building what matters most to enable the strategic goals of the enterprise

• Own and manage the business metadata and metrics forspecifieddata products

• Engage and collaborate with partners and stakeholders to gather input and communicate plans timelines and deliveries

• Perform relevant DataStewardshipactivities if assigned to that role

Essentialforthe role

• Thrives in a fast-paced work environment comfortable with complexity and uncertainty at times lots ofhumour dedication to deliver outcomes and motivated by the opportunity to rethink our approach to healthcare.

• Ability to manage a cross-functional product development and deployment processincludingteamsof people with diverse skills to perform the needed tasks

• Comfortableoperating ina heavilymatrixed organizations with excellentcommunicationskills and intuition to manage the needs of various stakeholders.

• Solid Project and / or Product management skills including managing vendors budgetstimelinesand risks.

• Experience bringing innovation to bear on solving complex and multi-dimensional issues from an operational technicalfinancialand human perspective.

• Understanding of the principles of Product Management

• Familiaritywith data engineering concepts such as data modelling data lakes / databases reference data master dataetc.

• Experience leading or working on agile development teams

• Excellent leadership communication influencingand stakeholder management skills

• Experienceestablishing communicating and executing product roadmaps

• Strong analytical and problem-solving abilities with the ability to make data-driven decisions

• Ability to rapidly grasp concepts andtomanagecomplexity by simplifyingitfor othersand providing clear directions todeliveryteams.

• FamiliaritywiththekeyprinciplesandprocessesofDataManagement(GovernanceArchitectureModellingReference and MasterDataIntegrationStorage Business Intelligence)

• Abilitytounderstand data-related problemsfromBusiness /ProductTeamsandeffortlesslytranslatethese into technical requirements withData Engineering leads.

• Ability to manage and influence strategically and persuade tactfully to obtain desired outcomes whilemaintainingeffective positive organizational relationships.

Desirableforthe role

• Masters or PhD in a scientific or technical discipline.

• 3 years of relevant experience inpharmaceuticalindustry with strong knowledge of Drug Development Processes and the diverse sources of information that supportinformandassistinhealthcare/clinicalresearch.

• Familiarity with the latest research and thinking and understanding of dynamics affecting the pharmaceutical industry and needs for transformation.

• Ability to work globally including international travel.

• Familiarity with data science data visualization and reporting concepts

• Ability to work in fast-paced dynamic environment and manage multiple streams of work simultaneously