Data Analytics Manager

Contract Assignment: Data Analytics Manager – Healthcare Analytics (Payment Integrity)

Reference: BH 367594

Daily Rate: €618/day Umbrella | €497.65/day PAYE

Duration: 12 months (initial contract)

Start Date: ASAP

Location: Dublin (hybrid - Once a week in the office)

Must be able to contract via Ltd company or PAYE. This role does not offer visa sponsorship.

Responsibilities:

• This role will focus on Waste and Error
• Develop and execute an analytics roadmap to support Payment Integrity (PI) initiatives.
• Partner with operations, product, and technology teams to drive innovative analytic solutions.
• Identify opportunities across the PI process and design actionable solutions.
• Lead stakeholder engagement and execution of analytic programs and strategies.
• Promote adoption of advanced analytics including AI/ML, GenAI, and Agentic AI across teams.
• Oversee execution of complex analytic initiatives, ensuring timely delivery and measurable impact.
• Create executive-level presentations to communicate insights and performance outcomes.
• Support communication and marketing of advanced analytics capabilities within the business.

Requirements:

• Proven experience in analytics, data science, or related strategic advisory roles.
• Strong problem-solving mindset and ability to break down complex business challenges.
• Experience working in matrixed and fast-paced environments.
• Ability to translate analytical outputs into meaningful business insights.
• Excellent stakeholder management, influencing, and negotiation skills.
• Strong verbal and written communication, with the ability to "tell the story" using data.
• High emotional intelligence and collaborative, consultative working style.
• You must have be people-oriented and strong at engaging others

Preferred:

• Background in Payment Integrity or the US healthcare industry (Medicare, Medicaid, Commercial).
• Exposure to predictive analytics, GenAI, and ML techniques used in healthcare.
• Experience with Lean/Six Sigma methodologies.
• Ability to manage ambiguity and drive performance without hands-on technical programming.

Required Qualification(s):

• Minimum of a bachelor’s degree in a relevant field such as data science, business analytics, healthcare, or a related technical discipline.