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 design,buildand iteration of data products.

• Create,maintainand 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 partnershipsrequiredto ensure innovative capabilitiesatthe intersection of data science,technologyand healthcare.

• Lead cross-functional teams fromideationto launchofdata productsensuring coordination between data platforms,solution architecture,informationarchitectureand data governanceso that the final product meetsbusiness,technicaland 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 Data Stewardshipactivities 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 process,includingteamsof 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, budgets,timelinesand risks.

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

• Understanding of the principles of Product Management

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

• Experience leading or working on agile development teams

• Excellent leadership, communication, influencing,and 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.

• Familiaritywith the key principles andprocesses of DataManagement(Governance,Architecture, Modelling,Reference and MasterData, Integration,Storage, Business Intelligence)

• Abilitytounderstand data-related problemsfromBusiness /Product Teamsandeffortlessly translatethese 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

• Master’s 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 support,informandassistinhealthcare/clinical research.

• 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