DataArt
Principal Data & Analytics Strategy and Technology Consultant, Healthcare & Life Sciences

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Position overview
DataArt is seeking a highly motivated and experienced Senior Data & Analytics Consultant to join our dynamic team. In this pivotal role, you will partner with prestigious clients in the Healthcare and Life Sciences industries to tackle complex business challenges and develop impactful, solution-oriented strategies.
As a key member of the DataArt Data & Analytics Lab, you will provide strategic consulting services to both clients and internal delivery teams, driving data strategy, data-driven organizational transformation, and other critical data and analytics initiatives. Beyond project delivery, you will also contribute to the growth of the Healthcare and Life Sciences practice and the Data & Analytics Lab through business development and go-to-market activities.
Responsibilities
- Forge strong, trusted advisor relationships with senior client stakeholders and internal account managers, gaining a deep understanding of their business objectives and challenges
- Lead collaborative, value-driven engagements to define and solve complex data problems, ensuring alignment with client goals and business objectives
- Collaborate with Practice Leadership and Account Management teams to develop account plans and strategies that identify and capitalize on data-driven opportunities, driving revenue growth within existing workstreams and beyond
- Serve as the principal consultant, guiding clients through complex data transformation initiatives and ensuring successful outcomes; contribute to key strategic deliverables such as mission statements, assessment results, and roadmaps to support clients' data journeys
- Actively engage in data-related pre-sales activities, including opportunity assessment, RFP responses, proposal development, and deal closure
- Support team development by mentoring colleagues and providing expertise across strategic client accounts
- Drive client value and business growth by achieving revenue targets (e.g., enabled revenue, new account acquisition) and meeting billable utilization goals
- Contribute to the Healthcare and Life Sciences practice and Data & Analytics Lab by supporting go-to-market strategy, offering development, methodologies, and other strategic initiatives
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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Requirements


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- Proven experience driving data strategy, data governance, data maturity, and data-driven transformation projects for Healthcare and Life Sciences organizations, including Healthcare Providers, Payers, Healthcare Non-profits/Associations, Pharma & Biotech, Medical Devices, and others
- Extensive experience working within custom IT services, custom IT solutions, and/or IT implementation environments, with a strong understanding of the custom software development services landscape
- Experience driving change management initiatives in enterprise environments
- Experience influencing data solution design and technology selection for enterprise data platforms, warehouses, data lakes, lakehouses, and data science platforms
- Experience implementing data strategies that enable in-house AI platform development
- Experience in the Healthcare and/or Life Sciences industries in the US and Europe
- Solid knowledge of Healthcare and/or Life Sciences data regulations, such as HIPAA, GDPR, ISO 27001, and the EU AI Act
- Extensive knowledge of health data exchange frameworks, data formats, and nomenclatures, including FHIR, HL7, SNOMED, and ICD-10, as well as regulatory frameworks such as TEFCA (US) and EHDS (Europe)
- Strong understanding of data and technology consulting principles and practices
- Expertise in leading large data-driven programs and driving revenue growth within client account portfolios
- Skilled in contributing to business development and sales engineering teams or organizations
- Proven track record of managing complex technology initiatives while effectively communicating with senior business and IT stakeholders
- Demonstrated ability to develop and grow client relationships, facilitate strategy definition, and drive adoption
- Solid understanding of business operations, products, and services
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